Method and system for evaluation and monitoring of muscle hemodynamic performance during a cyclical locomotor activity

ABSTRACT

Monitoring and evaluation method of muscle hemodynamic performance during a cyclical locomotor activity that includes the stages of provide one or more NIRS sensors, place the sensors on muscle tissues, provide a heart rate monitor and a locomotor intensity meter, obtain data relative to SmO 2   % , ThB, of each of the muscle tissues, heart rate (bpm) and locomotor intensity data, calculate the values of SmO 2   % , O 2 HHb and HHb, ϕO 2 HHb and ϕHHb, ThB and ϕThB, calculate the general trend line, calculate and obtain the physiological thresholds of each muscle tissue and the general thresholds, evaluate and/or compare the evolution and trend between two or more of the muscle tissues to determine the performance of the physiological sub-factors that make up the performance of muscle oxidative capacity and/or the delivery capacity of oxygen-charged and oxygen-discharged blood.

OBJECT OF THE INVENTION

The present invention relates to a monitoring and evaluation method of muscle hemodynamic performance, in particular a monitoring and evaluation method based on the use of near infrared sensors (NIRS).

The object of the present invention is to provide a method and a muscle hemodynamic monitoring and evaluation system that allows to evaluate and analyze the performance of muscle tissues in an analytical way and a global way overall performance of all muscle tissues during a cyclical locomotor activity.

BACKGROUND OF THE INVENTION

Nowadays, a lot of many assessment methods and devices, both invasive and non-invasive, are used to assess the physiological performance of the human body in a multitude of locomotor movements and in a wide variety of conditions. One of the most used methods to evaluate the physiological performance during exercise is the measurement of indirect calorimetry, from which derive variables relating to the exchange of gases in the human body.

Indirect calorimetry is a representation of the joint performance of all muscle tissues. On the other hand, this evaluation method doesn't allow to know what the performance of each one of the muscular tissues has been like.

Blood Lactate [La +] measurements are also widely very used in the research and sports world to correlate them with locomotor performance, since certain levels and increases in Blood Lactate values are associated with certain work intensities.

The closest method that allows to partially measure the performance of the muscular tissues during a Locomotor Activity or Cyclic Physical Activity (AFM) is the use of electromyography, whether invasive or surface. However, this method only allows obtaining the electrical activation values of each muscle tissue (TM).

Currently athletes and coaches use one to three NIRS devices to evaluate the physiological performance of an athlete in a physical activity. In these studies, only Muscular Oxygen Saturation (SmO₂) and Capillary Hemoglobin (ThB) values are used to establish in a very generic way what the athlete's performance limitation has been during exercise. Thus, the data obtained from one or two muscle tissues are used to determine that the subject evaluated has a general physiological limitation of this nature in his muscles, without taking into account the performance of other muscle tissues.

Likewise, state-of-the-art studies use only 1 or 2 NIRS devices to evaluate highly analytical aspects of the hemodynamic performance (% SmO₂, ThB, O₂HHb, HHb) of one or two muscle tissues (mainly: deltoid, vast lateral & rectus femoris). Data obtained from muscle tissues are used to represent the hemodynamic performance of all muscle tissues, assuming that there is symmetry in all active tissues.

DESCRIPTION OF THE INVENTION

The present invention refers to a method of monitoring and evaluating of muscle hemodynamic performance, in a non-invasive way, through the use of near-infrared spectroscopy (NIRS) devices, to establish the hemodynamic performance of multiple muscles tissues (TM_(s)) of simultaneously during a Locomotor Activity or Cyclic Physical Activity (AFM) determined.

In general, the monitoring and evaluation method of the invention analyses three aspects of muscle hemodynamic performance which are:

-   -   1. The Physiological Thresholds: From the monitoring and         evaluation of the redirection of blood flow developed in the TM,         the Minimum Activation Threshold (U_(Amin)), the Aerobic         Threshold (U_(Ae)) and the Anaerobic Threshold (U_(Ana)) can be         established.     -   2. The Muscle Oxidative Capacity: The performance in the         capacity that has each TM for consuming the oxygen that is         delivered by the cardiovascular system for production of the         energy necessary to develop locomotor movement.     -   3. The Delivery of Oxygen Loaded and Oxygen Discharged Blood:         The performance in the capacity to deliver the oxygen-loaded         blood necessary for TM_(s) to be able to consume it and produce         the energy necessary for locomotor movement. It also includes         hemodynamic performance in the ability to maintain blood flow         and venous return necessary for each work intensity.

Each one of these aspects determine the general hemodynamic performance of each muscle tissue and at the same time report a collective performance of the muscular system as a whole. Oxidative capacity and blood delivery have a series of sub-factors that determine specific aspects of their activity, offering information on the level of performance of each TM individually and collectively, in addition to the link with other physiological systems.

The method of the invention comprises in general the following differentiated parts:

-   -   1. Capture of hemodynamic data during locomotor performance:         while the user that is evaluated, perform an AFM with certain         characteristics, the NIRS devices are adhered to the human skin         in each of the TMs involved in AFM, additionally they can be         included other TM_(s) involved in the inspiration and expiration         phases. The hemodynamic values are registered by these devices         and also the heart rate (HR) values can be registered with a         monitor of HR. Also, record data on external locomotor         performance developed during AFC, such as power or cadence data.     -   2. Data Management: Doing a process of downloading,         synchronization, linking and filtering of the data obtained is         carried out, through a data processing system.     -   3. Analysis and Evaluation of the Hemodynamic Data Obtained         During Monitored Locomotor Activity or Cyclic Physical Activity         (AFC^(M)): The hemodynamic data obtained with the NIRS devices         and the other devices during the AFC^(M) are evaluated and         analysed analytically for each TM, and jointly for to establish         which has been the physiological performance of the all TMs         during the AFC^(M), the physiological thresholds of each TM, the         general physiological thresholds, the performance of each         subfactor and the physiological factors limiting muscle         hemodynamic performance during the developed AFC^(M).

The invention refers to a Muscle Hemodynamic Monitoring and Evaluation Method that allows the evaluation and analysis of locomotor performance during AFC^(M), allowing to analysis and determination of the systemic or analytical physiological factors that limit or impede the perfect locomotor performance of human muscle tissues. FIG. 1 shows the general scheme of all the factors that allows to evaluate and analyze.

In the first place, data capture is carried out, which refers to procedures prior to data recording of the evaluation and monitoring method of the invention.

-   -   1. The evaluation and monitoring method comprises a first stage         of providing the subject to be evaluated of:         -   Two or more near infrared sensors (NIRS).         -   One Heart Rate (HR) monitor.         -   One physical activity monitor or data recording device.         -   One intensity meter or device (GPS, power meter, . . . ).         -   Complementarily they can be provided of devices or meters of             locomotor performance parameters (meter of cadence,             pedometers, . . . ) or meters of other physiological             variables (VO2/CO2 gas analyzers, surface electromyography,             . . . ).     -   2. The NIRS are placed or adhered on the muscle tissues (TM)         that will be evaluated and will participate in the Monitored         Locomotor Activity or Cyclic Physical Activity (AFM^(M)).         -   Likewise, the HR band will be placed on the subject's chest             and any other monitor, devices and/or intensity and/or             locomotor and/or physiological performance meter that             requires it to obtain data will be placed or added.     -   3. The data recording of all devices and activity monitors         begins, minimally from the start of the AFM.

The AFM^(M) comprises one or more of the following characteristics:

-   -   The subject to be evaluated will carry out a AFC^(M), such as         running, swimming, pedalling, rowing, . . . .     -   The devices record the data they capture and/or monitor during         AFC^(M).     -   The activity monitor records the full-time scale from the         beginning to the end of the AFC^(M), including the multiple         intervals of work and/or rest if performed.     -   Complementary and/or necessary tools can be used for the         development of AFC^(M).     -   The data recording frequency of each device must be less than 6         seconds.     -   The AFC^(M) can be continuous or intervallic.     -   The AFC^(M) can be of stable, incremental, decreasing or         variable locomotive intensity.     -   The AFC^(M) may or may not include a warm-up/prior preparation,         and if it does not include it, the AFC^(M) may contain a warm-up         exercise prior to monitoring without the need to be recorded.     -   The minimum number of records for each device will be equivalent         to the minimum number of records to be able to generate the         trend line of the variables that the device is monitoring.     -   The characteristics of locomotor exercise (volume, duration,         density, intensity, number of intervals, intensity of each         interval, properties of the environment, . . . ) will depend on         the physiological factor or factors of muscle performance that         want to be evaluated, having a composition, structure and own         characteristics in each case.     -   External accessories or materials that participate in the         locomotive activity may be introduced, such as a bicycle, a         canoeing paddle or skis.

The processing system takes care of the data management stage, which includes downloading, synchronization, data filtering, and data analysis.

Thus, once the AFC^(M) is finished, the following steps will be carried out:

-   -   1. Download all the data from each device with his temporary         record of each value. The values downloaded by each device:         -   a. NIRS: Muscular Oxygen Saturation (%—SmO2^(%)) and             Capillary Hemoglobin (g/dL—ThB).         -   b. Heart Rate Monitor: Heart Rate (bpm—HR)         -   c. Activity Monitor and/or computing device: temporal scale             of AFC^(M)         -   d. Intensity device or monitor: Power (Watts)/Speed             (Km/h)/Pace (min/Km)/Any locomotor intensity measurement         -   e. External locomotor performance devices and/or monitors:             Cadence (rpm)/Accelerometer/Pedometer/Any other type of             device that provides data on external locomotor performance         -   f. Devices and/or monitors of Physiological Locomotor             Performance: Metabolic gas analyzers (VO2/CO2), lactate             meters, thermal imaging cameras . . . .     -   2. Sync, link and pair all values on a single grouped data         timescale starting from the timescale collected by the activity         monitor during AFC^(M)     -   3. Calculate the values for each Monitored Muscle Tissue         (TM^(M)) that participate in the AFC^(M) from the recorded data         of SmO2^(%) and ThB of:         -   Oxygen-Charged Capillary Hemoglobin—g/dL (O₂HHb)

% (SmO₂)*g/dL (ThB)=g/dL (O₂ HHb)

-   -   -   Oxygen Discharged Capillary Hemoglobin—g/dL (HHb)

g/dL (ThB)−g/dL (O₂ HHb)=g/dL (HHb)

-   -   -   Muscle Blood Flow of Muscle Hemoglobin—g/dL/s (ϕThB).

[g/dL (ThB)*(HR)]/60=g/dL/seg (ϕThB)

-   -   -   Muscular Blood Flow of Oxygen-Charged Hemoglobin—g/dL/s             (ϕO₂HHb).

[g/dL (O₂ HHb)*(HR)]/60=g/dL/seg (ϕO₂ HHb)

-   -   -   Muscular Blood Flow of Oxygen Discharged Hemoglobin—g/dL/s             (ϕHHb).

[g/dL (HHb)*(HR)]/60=g/dL/seg (ϕHHb)

-   -   4. Filter and exclude the data obtained erroneously and/or by         registration error by the devices during AFC^(M). Exclude the         data that are not within the following ranges and all the data         obtained from the calculation of any of them:         -   a. SMO2% [Between 1% SmO₂ and 99% SmO₂]         -   b. ThB [Between 9.5 g/dL and 14.9 g/dL]         -   c. HR [Between 40 ppm and 230 ppm]     -   5. Filter and exclude the data that present a difference greater         than that established in the following parameters, between the         temporary records of the same previous and subsequent value, and         all the data obtained from the calculation of any of them will         also be excluded:         -   a. Difference of SmO2% [>±10% SmO2%]         -   b. Difference of ThB [>±0.3 g/dL]         -   c. Difference of HR [>±7 ppm]

Then, through the processing system, an analysis and an evaluation of the data obtained during the AFC^(M) is carried out.

Previously to the analysis of the physiological factors, the intensity or range of locomotor intensity equivalent to the Minimum Activation Threshold (U_(Amin)), the Aerobic Threshold (U_(Ae)) and the Anaerobic Threshold (U_(Ana)) that the user has developed during the AFC^(M) will be established.

To be able to establish each of the thresholds mentioned, it will require that intensities above these thresholds have been developed in the AFC^(M), in order to be monitored.

Previous calculating the physiological thresholds, the trend line of each value obtained and/or calculated, for each TM^(M) will be established.

Thus, it proceeds to perform, through the processing system, an analysis and evaluation of physiological thresholds and the calculation of a trend line of the values obtained.

To the Physiological Thresholds are obtaining from combination of all the data of SmO₂ ^(%), ThB, ϕThB, O₂HHb, ϕO₂HHb, HHb, ϕHHb of all TM^(M). The procedure for calculating the Thresholds, through the processing system, has got the following steps:

-   -   1. Filter and exclude all values obtained, calculated and/or         recorded during all Rest Intervals (ID) or without AFC.     -   2. Filter and exclude all values obtained, calculated and/or         recorded during the first minute of each work interval (IT).     -   3. Filter and exclude all the values obtained, calculated and/or         registered when the value of locomotor intensity in the same         time register is equivalent to “0”.     -   4. Filter and exclude all the values obtained, calculated and/or         registered when the value of locomotor movement frequency in the         same time register is equivalent to “0”.     -   5. Choose and perform at least one of the following procedures:

Procedure A

-   -   A1. Calculate the statistical median value (Y̆) of the values         SmO2%, ThB, ϕThB, O2HHb, ϕO2HHb, HHb, ϕHHb of each TM^(M),         during AFC^(M), in each Locomotor Work Intensity (INT^(TL)) or         in each Intensity Range of Locomotor Work (R-INT^(TL)), that         participates in the AFC^(M).     -   A2. Establish the Trend Line (Lin^(Trend)) of the median values         (Y̆−INT^(TL)) or (Y̆−R-INT^(TL)) obtained from Y̆SmO₂Y̆, Y̆ThB,         Y̆ϕThB, Y̆O₂HHb, Y̆ϕO₂HHb, Y̆HHb and Y̆ϕHHb, in each TM^(M).

Procedure B

-   -   B1. Calculate the statistical average value (Y) of the values of         SmO₂ ^(%), ThB, ϕThB, O₂HHb, ϕO₂HHb, HHb, ϕHHb, of each TM^(M),         during AFC^(M), in each INT^(TL) or R-INT^(TL), which         participates in the AFC^(M).     -   B2. Establish the Lin^(Trend) of the average values (Y−INT^(TL))         or (Y−R-INT^(TL)) obtained from YSmO₂ ^(%), YThB, YϕThB, YO₂HHb,         YϕO₂HHb, YHHb and YϕHHb, in each TM^(M).

Procedure C

-   -   C1. Establish the Lin^(Trend) (Value/INT^(TL)) or         (Value/R-INT^(TL)), from all filtered values of SmO₂%, ThB,         ϕThB, O₂HHb, ϕO₂HHb, HHb, ϕHHb, in each TM^(M).     -   6. Calculate all values of Lin^(Trend) |Y|SMO₂ ^(%), |Y|ThB,         |Y|ϕThB, |Y|O₂HHb, |Y|ϕO₂HHb, |Y|HHb and |Y|ϕHHb, of each         TM^(M), for each INT^(TL) or R-INT^(TL).     -   7. Calculate the Slope (p) between each of the values of |Y|SmO₂         ^(%), |Y|ThB, |Y|ϕThB, |Y|O₂HHb, |Y|ϕO₂HHb, |Y|HHb and |Y|ϕHHb,         from each TM^(M).     -   8. Calculate, analyze and determine all the trend changes of (p)         in each of the Lin^(Trend), of all the values |Y|SmO₂ ^(%),         |Y|ThB, |Y|ϕThB, |Y|O₂HHb, |Y|ϕO₂HHb, |Y|HHb and |Y|ϕHHb, of         each TM^(M).     -   9. Calculate, analyze and establish between which two values of         INT^(TL) or R-INT^(TL) occurs the 1st, 2nd and 3rd General         Change of the trend of the slope (p) of Lin^(Trend) |Y|SmO₂         ^(%), |Y|ThB, |Y|ϕThB, |Y|O₂HHb, |Y|ϕO₂HHb, |Y|HHb and |Y|ϕHHb,         in each TM^(M).     -   10. Establish the intensity range in which the 1st General         Change of the slope (p) trend occurs, of each TM^(M), through         the combining at least 4 of the 7 INT^(TL) or R-INT^(TL),         analyzed and established in the previous step (9), for each         TM^(M).     -   11. Establish the intensity range in which the 2nd General         Change of the slope (p) trend occurs, of each TM^(M), through         the combining at least 4 of the 7 INT^(TL) or R-INT^(TL),         analyzed and established in the previous step (9), for each         TM^(M).     -   12. Establish the intensity range in which the 3rd General         Change of the slope (p) trend occurs, of each TM^(M), through         the combining at least 4 of the 7 INT^(TL) or R-INT^(TL),         analyzed and established in the previous step (9), for each         TM^(M).     -   13. Establish the Physiological Thresholds of each TM^(M) from         the data calculated and established in the previous points:

1st General 2nd General 3rd General Change (p) Change (p) Change (p) U_(Amin Individual) U_(Ae Individual) U_(Ana Individual) TM^(M) Rank|X| (Watts) Rank|X| (Watts) Rank|X| (Watts) |X| (Watts) |X| (Watts) |X| (Watts)

-   -   14. Establish the central INT^(TL) or R-INT^(TL) of the General         Physiological Thresholds from the median of the values of the         individual thresholds of all TM_(S) ^(M):

1st General 2nd General 3rd General Change (p) Change (p) Change (p) U_(Amin) U_(Ae) U_(Ana) TM^(M) Rank|X| (Watts) Rank|X| (Watts) Rank|X| (Watts) |X| (Watts) |X| (Watts) |X| (Watts)

-   -   15. Coming up next, the processing system can then also         determine the level of symmetry or asymmetry that has been         obtained between at least two groups of values and/or trend of         the values |Y|SmO₂ ^(%), |Y|ThB, |Y|ϕThB, |Y|O₂HHb, |Y|ϕO₂HHb,         |Y|HHb and/or |Y|ϕHHb, between two INT^(TL) or two R-INT^(TL),         between at least two TM_(S) ^(M).     -   A) Coefficient of Symmetry Between Values (CSV)

To set whether a set of values |Y|SmO₂ ^(%), |Y|ThB, |Y|ϕThB, |Y|O₂HHb, |Y|₂ϕO₂HHb, |Y|HHb and/or |Y|ϕHHb, between two INT^(TL) or two R-INT^(TL), of at least two TM_(S) ^(M) have some level of symmetry or asymmetry, the following procedure must be carried out:

-   -   Calculate, analyze and determine the CSV of the values of         |Y|SmO₂ ^(%), |Y|ThB, |Y|ϕThB, |Y|O₂HHb, |Y|ϕO₂HHb, |Y|HHb or         |Y|ϕHHb, between two INT^(TL) or two R-INT^(TL) determined,         between at least two determined TM_(S) ^(M):

${CSV} = \frac{{Standard}{Deviation}(\sigma){of}{the}{values}{of}{❘Y❘}}{{Average}{of}{the}{values}{of}{❘Y❘}}$

-   -   Establish the Symmetry Level (NS^(CSV)) from the CSV value         calculated from the values |Y|SmO₂ ^(%), |Y|ThB, |Y|ϕThB,         |Y|O₂HHb, |Y|ϕO₂HHb, |Y|HHb or |Y|ϕHHb, between two INT^(TL) or         two R-INT^(TL) determined, between at least two TM_(S) ^(M)         determined:

Symmetry Level CSV (NS^(CSV) ) SmO₂ % O₂HHb − HHb ϕO2HHb − ϕHHb Perfect ≤0.01 ≤0.001 ≤0.01 Optimum >0.01 ≤0.05 >0.001 ≤0.005 >0.01 ≤0.05 Minimal >0.05 ≤0.20 >0.005 ≤0.02  >0.05 ≤0.2  Asymmetry >0.20 >0.02  >0.2 

B) Symmetry Coefficient Between the Trends of the Values—TGV (

)

To establish whether the trend of the values |Y|SmO₂ ^(%), |Y|O₂HHb, |Y|ϕO₂HHb, |Y|HHb and/or |Y|ϕHHb, between two INT^(TL) or two R-INT^(TL) determined, of a TM^(M) have some level of symmetry or asymmetry with the trend of the values |Y|SmO₂ ^(%), |Y|O₂HHb, |Y|ϕO₂HHb, |Y|HHb and/or |Y|ϕHHb, between two INT^(TL) or two R-INT^(TL) determined, of at least one other TM^(M) or a set of TM_(S) ^(M), the following procedure must be carried out:

-   -   Calculate, analyze and determine the slope-trend         |Y| of at |Y|SmO₂ ^(%), |Y|O₂HHb, |Y|ϕO₂HHb, |Y|HHb and/or         |Y|ϕHHb, between two INT^(TL) or two R-INT^(TL) determined, of         at least two TM_(S) ^(M) determined:

${\overset{\leftrightarrow}{(p)} = \frac{{{❘Y❘}2} - {{❘Y❘}1}}{{{❘X❘}2} - {{❘X❘}1}}};$

-   -   where         is the slope-trend; |Y|1 the determined value of SmO₂%, O₂HHb,         ϕO₂HHb, HHb o ϕHHb, of the 1ST LNT^(TL) or R-INT^(TL) determined         and |Y|2 of the 2nd INT^(TL) or R-INT^(TL) determined; |X| 1 is         the 1ST LNT^(TL) or R-INT^(TL) and |X| 2 the 2nd INT^(TL) or         R-INT^(TL) determined.     -   Calculate, analyze and establish the         of         |Y|SmO₂ ^(%),         |Y|O₂HHb,         |Y|ϕO₂HHb,         |Y|HHb and/or         |Y|ϕHHb between two INT^(TL) or two R-INT^(TL) determined, of         one TM^(M) determined with respect to the trend of the values         |Y|SmO₂ ^(%),         |Y|O₂HHb,         |Y|ϕO₂HHb,         |Y|HHb and/or         |Y|ϕHHb of another TM^(M) or a set of trends of values         |Y|SmO₂ ^(%),         |Y|O₂HHb,         |Y|ϕO₂HHb,         |Y|HHb and/or         |Y|ϕHHb of two or more TM_(S) ^(M) determined:

=[

|Y|]−[

|Y|]

-   -   Where         |Y| is the median slope-trends of the compared TM_(S) ^(M) and         |Y| is the slope-trend of the analyzed TM^(M).     -   Establish the Symmetry Level (NS^(Coef-(p))) from the calculated         value of         |Y|SmO₂ ^(%),         |Y|O₂HHb,         |Y|ϕO₂HHb,         |Y|HHb o         |Y|ϕHHb of the analyzed TM^(M):

Symmetry Level

(NS^(Coef-(p))) SmO₂ ^(%) O₂HHb-HHb ϕO₂HHb-ϕHHB Perfect ≤0.01 ≤0.001 ≤0.01 Optimum >0.01 ≤0.05 >0.001 ≤0.005 >0.01 ≤0.05 Minimal >0.05 ≤0.15 >0.005 ≤0.015 >0.05 ≤0.15 Asymmetry >0.15 >0.015 >0.15

-   -   16. The processing system coming up next determines if there are         limitations on the performance of the subject to be analyzed and         of what type these limitations are. To do this, a series of         values and ranges of the measured and calculated variables are         determined that indicate the presence of different types of         limitations. The types of limitations that may exist and the         steps to follow in determining the presence of each one in the         subject's performance are explained below.

A. Muscle Oxidative Capacity

The oxidative capacity is the potential of the muscular tissues to consume the oxygen delivered in the muscular capillaries and with the objective of producing an amount of adenosine triphosphate (ATP) necessary for the locomotor movement.

When evaluating the hemodynamic performance, the performance of the global muscle oxidative capacity is established, that is, the global or average level of the entire locomotor system, and at the same time the individual performance level of each muscle tissue is established. Since there are multiple factors that can affect to the ability of consume oxygen of only one muscle tissue while the consumption potential remains intact in the other muscle tissues.

A perfect global or general muscle oxidative capacity occurs when each muscle tissue that participates in locomotor activity is capable of consuming all the oxygen delivered by the cardiovascular system.

On the contrary, limitations can occur with respect to the maximum potential of oxidative capacity when in at least one, a group or all the muscular tissues do not express the maximum capacity or potential to consume all the oxygen delivered by the cardiovascular system.

A1. Structural Factor of Oxidative Capacity

Factor (A1) is that factor that analyzes and evaluates the performance of the level of mitochondrial density and/or oxidative enzymes available to muscle tissues. Oxygen is consumed within the mitochondria and the enzymes participate in this process and establish the speed at which it is consumed, a low level of both means a low capacity to consume oxygen and produce high amounts of energy per unit of time. A limitation in this factor means a general limitation of oxidative capacity in practically almost all muscle fibers.

To establish that there is a Limitation in Factor A1, the following steps and criteria must be met:

-   -   Evaluate the value of |Y|SmO₂ ^(%) in each INT^(TL) or         R-INT^(TL), INT^(TL) greater than or equal to U_(Amin) and less         than or equal to U_(Ana).     -   Calculate, compare, evaluate and establish the Coefficient of         Symmetry between Values (CSV) and the Level of Symmetry         (NS^(CSV)) between |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ϕO₂HHb of each         TM^(M) and his Contralateral Muscle Tissue Monitored (TMC^(M)),         in each INT^(TL) or R-INT^(TL) INT^(TL) greater than or equal to         U_(Amin) and less than or equal to U_(Ana).     -   Calculate, compare and evaluate the General Trend of the Values         (TGV [         ]) |Y|SmO₂ ^(%), |Y|ϕO₂HHb and |Y|O₂HHb, of all TM_(S) ^(M), in         the R-INT^(TL) (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)).     -   Calculate, compare and establish the lowest value of         and the equivalent NS^(Coef-(p)) of         |Y|SmO₂ ^(%),         |Y|ϕO₂HHb and         |Y|O₂HHb, between the combination of at least 70-75% of the         TM_(S) ^(M), in the R-INT^(TL) (U_(Amin)−U_(Ae)) and         (U_(Ae)−U_(Ana)).     -   Determine that the following criteria are met to establish a         limitation in Factor (A1):         -   1. The value of |Y|SmO₂ ^(%) in each INT^(TL) or R-INT^(TL)             INT^(TL) greater or equal than U_(Amin) and less than or             equal to U_(Ana), is ≥70% SmO2^(%), in at least 70-75% of             TM_(S) ^(M).         -   2. The values of |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ϕO₂HHb of             each TM^(M) and TMC^(M), have at least one optimal symmetry,             in each INT^(TL) or R-INT^(TL) greater than or equal to             U_(Amin) and less than or equal to U_(Ana), in at least the             70-75% of TM_(S) ^(M).         -   3. The TGV of de             |Y|SmO₂ ^(%),             |Y|ϕO₂HHb and             |Y|O₂HHb is symmetric between the combination of at least             70-75% of TM_(S) ^(M), in the R-INT^(TL) (U_(Amin)−U_(Ae))             and (U_(Ae)−U_(Ana)).         -   4. The TGV of de             |Y|SmO₂ ^(%),             |Y|ϕO₂HHb and             |Y|O₂HHb is symmetric between each TM^(M) and his TMC^(M),             in at least 80-85% of TM_(S) ^(M), in the             R-INT^(TL)(U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)).

A2. Functional Factor of Oxidative Capacity by General Fatigue

The functional factor of oxidative capacity is that factor that analyzes and evaluates whether the muscle tissues have the potential or the capacity to consume large amounts of oxygen delivered by the cardiovascular system, but due to factors of general fatigue, the muscle tissues lose part or all its consumption potential. Once the general fatigue disappears, this limitation disappears, it is a temporary limitation of the performance of the oxidative capacity and it is observed in practically all the muscular tissues at the same time.

To establish a Limitation on Factor (A2) the following steps and criteria must be met:

-   -   Evaluate the values of |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ϕO₂HHb of         each TM^(M), in each INT^(TL) or R-INT^(TL) greater than or         equal to U_(Amin).     -   Calculate and evaluate the difference of SmO2% between the value         of |Y|SmO₂ ^(%) of each TM^(M) and his TMC^(M), in each INT^(TL)         or R-INT^(TL) greater than or equal to U_(Amin).     -   Compare, evaluate and determine the CSV and NS^(CSV) between the         values of |Y|SmO₂ ^(%), |Y|ϕO₂HHb and |Y|O₂HHb of each TM^(M)         and his TMC^(M), in each INT^(TL) or R-INT^(TL) greater than or         equal to U_(Amin).     -   Calculate, compare and evaluate the TGV [         of |Y|SmO₂ ^(%), |Y|ϕO₂HHb and |Y|O₂HHb of all TM_(S) ^(M), in         the R-INT^(TL) (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)).     -   Calculate, compare and establish the lowest value of         and the equivalent NS^(Coef-(p)) of         |Y|SmO₂ ^(%),         |Y|ϕO₂HHb and         |Y|O₂HHb, between the combination of at least 50-55% of the         TM_(S) ^(M), in the R-INT^(TL) (U_(Amin)−U_(Ae)) and         (U_(Ae)−U_(Ana)).     -   Determine that the following criteria are met to establish a         limitation in Factor (A2):         -   1. The difference between the value of |Y|SmO₂ ^(%) of each             TM^(M) and his TMC^(M) is >5% SmO2^(%), in the 95% of             INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin), in             at least the 70-75% of TM_(S) ^(M).         -   2. The value of |Y|SmO₂ ^(%) is ≥55% SmO2^(%), in the 80% of             TM_(S) ^(M), in each INT^(TL) or R-INT^(TL) greater than or             equal to U_(Amin) and less than or equal to U_(Ana).         -   3. The values of |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ϕO₂HHb are             asymmetric in at least the 50% of INT^(TL) or R-INT^(TL)             greater than or equal to U_(Amin), between one TM^(M) and             his TMC^(M), in at least the 70-75% of TM_(S) ^(M).         -   4. The             of de             |Y|SmO₂ ^(%),             |Y|ϕO₂HHb and             |Y|O₂HHb is asymmetric between the combination of at least             the 50-55% of TM_(S) ^(M), in the R-INT^(TL)             (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)).

If a second evaluation is carried out after a recovery period where the general fatigue disappears, it could be observed how all the muscular tissues regain their oxygen consumption potential and the asymmetries generated by the general fatigue also disappear and the muscle saturation would return to being symmetric in each muscle tissue compared with his contralateral muscle tissue.

A3. Functional Factor of Oxidative Capacity by Muscle Inhibition

The functional factor of the oxidative capacity due to Muscle Inhibition is that factor that analyzes each muscle tissue individually to assess whether the analyzed muscle tissue loses its potential or the ability to consume large amounts of oxygen temporarily due to a muscle inhibition. This factor is usually observed in isolated tissues, which lose their potential while the rest of the muscle tissues keep their oxygen consumption potential intact, unlike what happens in the functional factor due to general fatigue.

To establish a Limitation on Factor A3, the following steps and criteria must be met:

-   -   Evaluate the value of |Y|SmO₂ ^(%) of at least one TM^(M), in         each INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin).     -   Calculate, compare and evaluate the value of |Y|SmO₂ ^(%),         |Y|O₂HHb and |Y|ϕO₂HHb of at least one TM^(M) with the values of         his TMC^(M), in each INT^(TL) or R-INT^(TL) greater than or         equal to U_(Amin).     -   Calculate, evaluate and determine the value of CSV and NS^(CSV)         of |Y|SmO₂ ^(%), |Y|ϕO₂HHb and |Y|O₂HHb, of at least one TM^(M)         and his TMC^(M), in each INT^(TL) or R-INT^(TL) greater than or         equal to U_(Amin).     -   Calculate, compare and evaluate the TGV [         ] of |Y|SmO₂ ^(%), |Y|ϕO₂HHb and |Y|O₂HHb of all TM_(S) ^(M), in         the R-INT^(TL) (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)).     -   Calculate, evaluate and determine the lowest value of         and the equivalent NS^(Coef-(p)) between the values of         |Y|SmO₂ ^(%),         |Y|ϕO₂HHb and         |Y|O₂HHb, of at least the combination of the 50-55% TM_(S) ^(M).     -   Determine that the following criteria are met to establish a         limitation on Factor (A3):         -   1. The value of |Y|SmO₂ ^(%) is ≥50% SmO2^(%) in the TM^(M)             analyzed, in the 95% of INT^(TL) or R-INT^(TL) greater than             or equal to U_(Amin).         -   2. The values of |Y|SmO₂ ^(%), |Y|O₂HHb |Y|y ϕO₂HHb of the             TM^(M) analyzed are greater than the values of his TMC^(M),             in the 95% of INT^(TL) or R-INT^(TL) greater than or equal             to U_(Amin).         -   3. The TGV of             |Y|SmO₂ ^(%),             |Y|ϕO₂HHb and             |Y|O₂HHb is asymmetric between the TM^(M) analyzed and his             TMC^(M), in the R-INT^(TL) (U_(Amin)−U_(Ae)) and             (U_(Ae)−U_(Ana)).         -   4. The TGV of             |Y|SmO₂ ^(%),             |Y|ϕO₂HHb and             |Y|O₂HHb is symmetric between the combination of at least             the 50-55% of TM_(S) ^(M), in the R-INT^(TL)             (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)).

A.4. Neuromuscular Factor of Oxidative Capacity (Intermuscular Coordination)

The Neuromuscular factor of Oxidative Capacity (Intermuscular Coordination) is that factor that analyzes and evaluates whether the muscle tissues have the potential or the ability to consume large amounts of oxygen delivered by the cardiovascular system, but certain evaluated muscle tissues that participate in the activity locomotive, they do not, while the other muscular tissues do develop their potential.

This occurs mainly due to two aspects, the muscle recruitment pattern by the nervous system and, on the other hand, the biomechanical pattern performed by the subject during locomotor movement.

The pattern of muscle recruitment by the nervous system (Intermuscular Coordination) refers to the level of activation and participation in locomotor activity, a perfect muscle recruitment would mean that all the muscle tissues that participate in said movement have the same level of metabolic activation and therefore, the same muscle oxygen consumption. The level of performance of this aspect is determined by the ability of the nervous system to recruit and activate all muscle tissues symmetrically during locomotor movement. When the nervous system is not efficient in muscle recruitment, it activates differently and to a greater or/or lesser degree the different muscle tissues involved in locomotor activity. It should be noted that when this happens, a symmetry is usually observed between muscle tissues and their contralateral muscle tissues in the hemodynamic and activation values. When a lesser degree of recruitment occurs in muscle tissues and its contralateral muscle for the reasons mentioned above, they may present a limitation in oxidative capacity, as they have the potential to consume large amounts of oxygen, but do not develop said potential during locomotor activity due to less nervous activation.

The biomechanical pattern refers to the physical movement carried out by the evaluated subject, any type of incorrect and/or inefficient biomechanical pattern may mean that the nervous system must recruit some muscle tissues to a greater or/or lesser extent than other muscle tissues that participate in locomotor activity to be able to cope with said alterations or inefficient biomechanical patterns.

When a muscle tissue and its contralateral muscle tissue are affected by this factor and their level of nerve activation is reduced, these muscle tissues do not express their maximum potential for oxygen consumption due to low nerve activation

The two previous patterns or factors are the cause of a limitation of the Neuromuscular factor of Oxidative Capacity (Intermuscular Coordination). To establish a Limitation on Factor A4, the following steps and criteria must be met.

-   -   Evaluate the value of |Y|SmO₂ ^(%), |Y|ϕO₂HHb and |Y|O₂HHb, of         each TM^(M), in each INT^(TL) or R-INT^(TL) greater than or         equal to U_(Amin).     -   Calculate, evaluate and determine the value of CSV and the         equivalent NS^(CSV) of de |Y|SmO₂ ^(%), |Y|ϕO₂HHb and |Y|O₂HHb,         of at least one TM^(M) and his TMC^(M), in each INT^(TL) or         R-INT^(TL) greater than or equal to U_(Amin).     -   Calculate, compare and evaluate the TGV [         ]) of |Y|SmO₂ ^(%), |Y|ϕO₂HHb and |Y|O₂HHb of all TM_(S) ^(M),         in the R-INT^(TL) (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)).     -   Calculate, evaluate and determine         and the equivalent NS^(Coef-(p)) between the values         |Y|SmO₂ ^(%),         |Y|ϕO₂HHb and         |Y|O₂HHb, of each TM^(M) and his TMC^(M), in the R-INT^(TL)         (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)).     -   Determine that the following criteria are met to establish a         limitation on Factor (A4):         -   1. The value of |Y|SmO₂ ^(%) of the TM^(M) analyzed and of             his TMC^(M) is greater than or equal to 65% SmO₂ ^(%), in             each INT^(TL) or R-INT^(TL) greater than or equal to             U_(Amin).         -   2. The trend of             |Y|SmO₂ ^(%),             |Y|ϕO₂HHb and             |Y|O₂HHb, in the 70% of TM_(S) ^(M) and their TM_(S)C^(M)             are minimally symmetric, in the R-INT^(TL) (U_(Amin)−U_(Ae))             and (U_(Ae)−U_(Ana)).         -   3. The values of |Y|SmO₂ ^(%), |Y|ϕO₂HHb and |Y|O₂HHb of the             TM^(M) analyzed and his TMC^(M) are greater than the values             of at least the 70-75% of the remaining TM_(S) ^(M), in each             INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin).         -   4. The values of |Y|SmO₂ ^(%) of at least the 50-55% of             TM_(S) ^(M) is ≤45% SmO2%, in any INT^(TL) or R-INT^(TL)             greater than or equal to U_(Ae).

B. Oxygen-Loaded Blood Delivery Capacity in the Venous Return

The Capacity to Deliver Oxygen-Loaded Blood Flow and the Venous Return is a performance performed jointly, dependently, harmonically and synchronized by the different vascular, muscular and nervous tissues together with the multiple organs of the body involved in gas exchange, the maintenance of blood pressure, supply and redistribution of oxygen-laden blood flow throughout the body, the level of metabolic activation of each tissue, and venous return during locomotor movement.

To fully analyze and evaluate the performance of Oxygen-Charged Blood Delivery Capacity and Venous Return, the limiting factors for performance are divided according to the physiological system that interacts with some aspect of blood flow. The 3 systems into which the factors are divided are the pulmonary system, the cardiovascular system and the nervous system.

B1. Pulmonary System B1.1. Pulmonary Structural Factor

The Structural Factor of the Pulmonary System is that factor that analyzes and evaluates if there is any type of limitation in the exchange of gases produced in the lung, negatively affecting and reducing the delivery of oxygen-charged haemoglobin to the muscle tissues.

The Pulmonary Structural Factor indirectly represents the state and performance of the pulmonary structures involved in gas exchange (for example, the pulmonary alveoli). Any deficiency in these structures can affect to the uptake of oxygen O₂ and the expulsion of CO₂ and H₂O from the bloodstream.

Any limitation related to problems in gas exchange or oxygen uptake is observed mainly in greater delays in terms of post-effort recovery periods and in oxygen replenishment in muscle tissues. In people without any type of alteration in this factor, the recovery or replenishment of oxygen is almost immediately, but in people with a certain limitation of this factor, the delay in replenishment can exceed 10 seconds or even reach half a minute in very evident cases.

This limitation is mainly observed in people with respiratory diseases diagnosed as COPD, people with 1 lung, asthmatics, or smokers generally.

To establish if there is a limitation of the Pulmonary Structural Factor, the following steps must be followed, and the established criteria must be met:

-   -   Calculate, analyze and evaluate the value of |Y|SmO₂ ^(%) of at         least one TM^(M) involved in the breathing process [inspiration         (inhalation) and expiration (exhalation)] during AFC^(M), in         each INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin).     -   Calculate, analyze and evaluate the trend         of the SmO₂ ^(%) and ϕO₂HHb values of all TM_(S) ^(M), on the         initial 5 and 10 seconds of at least one ID after an IT of         INT^(TL) or R-INT^(TL) average greater than or equal to U_(Ae).     -   determine that the following criteria are met to establish a         limitation on Factor (B11.1):         -   1. The trend of the values             SmO₂ ^(%) and             ϕO₂HHb in the initial 5 seconds, in all ID after an IT of             INT^(TL) or R-INT^(TL) average greater than or equal to             U_(Ae), is less than [             <0000.5], in at least 70% of TM_(S) ^(M).         -   2. The trend of the values             SmO₂ ^(%) and             ϕO₂HHb in the initial 10 seconds, in all ID after an IT of             INT^(TL) or R-INT^(TL) average greater than or equal to             U_(ANA), is less than [             <0000.5], in at least 70% of TM_(S) ^(M).         -   3. The value of |Y|SmO₂ ^(%) is >50% SmO₂ ^(%) in the TM_(S)             ^(M) that participate in the breathing process [inspiration             (inhalation) and expiration (exhalation)], in at least one             INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin).

B1.2. Pulmonary Functional Factor (Respiratory Muscles)

The Pulmonary Functional Factor (Respiratory Muscles) is that factor that analyzes and evaluates if there is any type of limitation in the exchange of gases in the lungs produced by the inefficiency and/or incapacity of the muscular tissues in charge of the biomechanical phases of respiration [inspiration and expiration].

When there is an inefficiency in the performance of these muscle tissues, the maximum potential to introduce the greater volume of oxygen (L/min) into the lungs through negative pressure is reduced, which is generated by the contraction and elevation of the rib cage.

The effects are the same as the Pulmonary System Structural Factor, but with a different limiting cause. The magnitude of the limitation depends on the level of deconditioning or inefficiency of performance by the respiratory muscle tissues. Even any muscle blockage or “muscle contracture” in muscle tissues that limits the range of motion of the rib cage can prevent the maximum volume of oxygen introduced into the lungs from being generated.

To establish whether there is a limitation of the Pulmonary Functional Factor, the following steps must be followed and the established criteria must be met:

-   -   Calculate, analyze and evaluate the value of |Y|SmO₂ ^(%) of at         least one TM involved in the breathing process [inspiration         (inhalation) and expiration (exhalation)] during AFC^(M), in         each INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin).     -   Calculate, analyze and evaluate the trend         of the SmO₂ ^(%) and ϕO₂HHb values of all TM_(S) ^(M), in the         initial 5 seconds, of at least one ID after an IT of INT^(TL) or         R-INT^(TL) average greater than or equal to U_(Ae).     -   determine that the following criteria are met to establish a         limitation on Factor (B11.1):         -   1. The trend of the values             SmO₂ ^(%) and             ϕO₂HHb in the initial 5 seconds, in all ID after an IT of             INT^(TL) or R-INT^(TL) average greater than or equal to             U_(Ae), is less than [             <0000.5], in at least 70% of TM_(S) ^(M).         -   2. The value of |Y|SmO₂ ^(%) is ≤50% SmO₂ ^(%) in the TM_(S)             ^(M) that participate in the breathing process [inspiration             (inhalation) and expiration (exhalation)], in at least one             INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin).

B2. Cardiovascular System B2.1. Exercise Blood Flow Analytical Delivery Performance Factor

The Performance Factor of Analytical Delivery of Blood Flow during exercise is that factor that analyzes and evaluates cardiovascular performance in each of the muscle tissues that participate in locomotor activity. This factor analyzes how the cardiovascular system satisfies the demands of blood flow from the muscle and determines how the characteristics of the flow delivered to each muscle are.

In many cases, the delivery of blood flow is totally different in each of the muscle tissues, for that reason the characteristics of blood flow are analyzed individually, allowing to identify if there is some type of hierarchy of preference between muscle tissues in terms of the delivery of blood.

-   -   Composition of Muscular Blood Flow [% of Blood Flow Charged with         Oxygen] (Factor B.2.1.1): It is the aspect or qualitative         component of blood flow, it represents how much haemoglobin is         charged with oxygen in the blood flow of said muscle tissue and         whether the blood flow is rich or poor in oxygen.     -   Volume of Muscle Hemoglobin Delivery [Oxygen Charged (O₂HHb) or         Discharged (HHb)] (Factor B.2.1.2): It is the absolute         quantitative aspect of blood flow. The absolute amount of         hemoglobin that is oxygen-loaded and discharged is determined.         This aspect serves to know if the muscle tissue receives the         correct amount of hemoglobin during locomotor work in the         intensity or range of intensities analyzed.     -   Velocity/Rate of Blood Flow Delivery [Charged ((O₂HHb—Oxygen         Discharged (ϕHHb)] (Factor B.2.1.3): It is the aspect of         intensity or speed with which a certain volume of oxygen charged         or discharged hemoglobin is delivered This parameter is         important to fully analyze the individual cardiovascular         performance of muscle tissue because a tissue may have a blood         flow with a lower “quality” and “quantity” of oxygen-laden blood         delivery, but if the speed at which the blood is delivered is         high enough, it may be sufficient to satisfy the metabolic         oxygen demands during locomotor work in the intensity or range         of intensities analyzed.

In order to evaluate and establish the performance of Factor (B2.1), the following steps must be followed and the established criteria must be met:

-   -   Calculate the value of |Y|SmO₂ ^(%), |Y|O₂HHb, |Y|ϕO₂HHb, of         each TM^(M), in at least one INT^(TL) or R-INT^(TL) greater than         or equal to U_(Amin).     -   Calculate the values of SmO₂ ^(%), O₂HHb and ϕO₂HHb of the Upper         Limit of the Optimal Zone (|         |         ) and the Lower Limit of the Optimal Zone |         |         , in the determined INT^(TL) or R-INT^(TL), from the following         calculation:

|

|

=(Median of {|Y| ₁ ;|Y| ₂ ;|Y| ₃; . . . ,})+(σ{|Y| ₁ ;|Y| ₂ ;|Y| ₃; . . . ,})/2

|

|

=(Median of {|Y| ₁ ;|Y| ₂ ;|Y| ₃; . . . ,})−(σ{|Y| ₁ ;|Y| ₂ ;|Y| ₃; . . . ,})/2

-   -   where |Y| is the value (SmO₂ ^(%), O₂HHb or ϕO₂HHb) of each         TM^(M) at the determined intensity; (σ) is the standard         deviation of (SmO₂ ^(%), O₂HHb or ϕO₂HHb) of each TM^(M) at the         determined intensity.     -   Compare and evaluate the values of |Y|SmO₂ ^(%), |Y|O₂HHb and         |Y|ϕO₂HHb, of at least one TM^(M) with the values of SmO₂ ^(%),         O₂HHb and ϕO₂HHb of |         |         and of |         |         , in INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin)         analyzed.     -   Determine the type of performance of the Factor (B.2.1.1) that         develops at least one TM^(M) analyzed, in the analyzed INT^(TL)         or R-INT^(TL), based on the following criteria:         -   Excessive Muscle Oxygen Amount if:             -   The value of |Y|SmO₂ ^(%) of the TM^(M) is ≤80% SmO₂                 ^(%) in the analyzed INT^(TL) or R-INT^(TL)             -   The value of |Y|SmO₂ ^(%) of the analyzed TM^(M) is                 greater than SmO₂ ^(%) |                 |                 , in the analyzed INT^(TL) or R-INT^(TL)             -   The difference between the value of |Y|SmO₂ ^(%) of the                 analyzed TM^(M) and SmO₂ ^(%)|                 |                 is ≥15% SmO2^(%), in the analyzed INT^(TL) or R-INT^(TL)         -   Greater Amount of Muscular Oxygen if:             -   The value of |Y|SmO₂ ^(%) of the analyzed TM^(M) is                 greater than SmO₂ ^(%)|                 |                 , in the analyzed INT^(TL) or R-INT^(TL)             -   The difference between the value of |Y|SmO₂ ^(%) of the                 analyzed TM^(M) and SmO₂ ^(%) |                 |                 , is <15% SmO2^(%), in the analyzed INT^(TL) or                 R-INT^(TL).         -   Optimal Amount of Muscular Oxygen if:             -   The value of |Y|SmO₂ ^(%) of the analyzed TM^(M) is                 equal or less than SmO₂ ^(%) |                 |                 , in the analyzed INT^(TL) or R-INT^(TL).             -   The value of |Y|SmO₂ ^(%) of the analyzed TM^(M) is                 equal or greater than SmO₂ ^(%) |                 |                 , in the analyzed INT^(TL) or R-INT^(TL).         -   Lower Amount of Muscular Oxygen if:             -   The value of |Y|SmO₂ ^(%) of the analyzed TM^(M) is                 greater than SmO₂ ^(%) |                 |                 , in the analyzed INT^(TL) or R-INT^(TL).             -   The value of |Y|SmO₂ ^(%) of the analyzed TM^(M) is >20%                 SmO2^(%), in the analyzed INT^(TL) or R-INT^(TL)         -   Inefficient or Low Amount of Muscular Oxygen if:             -   The value of |Y|SmO₂ ^(%) of the analyzed TM^(M) is                 greater than SmO₂ ^(%)|                 |                 , in the analyzed INT^(TL) or R-INT^(TL).             -   The value of |Y|SmO₂ ^(%) of the analyzed TM^(M) is <20%                 SmO2^(%), in the analyzed INT^(TL) or R-INT^(TL)     -   Determine the type of performance of the Factor (B.2.1.2) that         develops at least one analyzed TM^(M), in the analyzed INT^(TL)         or R-INT^(TL), based on the following criteria:         -   Higher Hemoglobin Delivery Volume if:             -   The value of |Y|O₂HHb of the analyzed TM^(M) is greater                 than O₂HHb |                 |                 , in the INT^(TL) or R-INT^(TL) analyzed.         -   Optimal Hemoglobin Delivery Volume if:             -   The value of |Y|O₂HHb of the analyzed TM^(M) analyzed is                 equal or less than O₂HHb |                 |                 , in the analyzed INT^(TL) or R-INT^(TL).             -   The value of |Y|O₂HHb of the analyzed TM^(M) is equal or                 greater than O₂HHb |                 |                 , in the analyzed INT^(TL) or R-INT^(TL).         -   Lower Hemoglobin Delivery Volume if:             -   The value of |Y|O₂HHb of the analyzed TM^(M) a is less                 than O₂HHb |                 |                 , in the analyzed INT^(TL) or R-INT^(TL).     -   Determine the type of performance of the Factor (B.2.1.3) that         develops at least one analyzed TM^(M), in the analyzed INT^(TL)         or R-INT^(TL), based on the following criteria:         -   Higher Blood Flow Delivery Rate if:             -   The value of |Y|ϕO₂HHb of the analyzed TM^(M) is greater                 than the value of ϕO2HHb|                 |                 , in the analyzed INT^(TL) or R-INT^(TL).         -   Optimal Blood Flow Delivery Rate if:             -   The value of |Y|ϕO₂HHb of the analyzed TM^(M) is equal                 or less than of ϕO2HHb |                 |                 , in the analyzed INT^(TL) or R-INT^(TL).             -   The value of |Y|ϕO₂HHb of the analyzed TM^(M) is equal                 or greater than ϕO2HHb |                 |                 , in the analyzed INT^(TL) or R-INT^(TL).         -   Lower Blood Flow Delivery Rate if:             -   The value of |Y|ϕO₂HHb of the analyzed TM^(M) is less                 than ϕO2HHb |                 |                 , in the analyzed INT^(TL) or R-INT^(TL).

B2.2. Functional Sympatholysis Factor for Blood Flow Redistribution

During exercise, the active muscles contract and vasodilation occurs due to various mechanical, nervous and metabolic factors. If this vasodilation occurs excessively, it can “threaten” the systemic regulation of blood pressure throughout the body, for that reason the sympathetic nervous system does a vascular vasoconstriction to maintain blood pressure and blood flow levels in order to maintain regular oxygen supply to the brain and vital organs (Functional Sympatholysis).

Regulation of blood flow to skeletal muscle is closely linked to metabolic oxygen demand and with a change in oxygen requirement leading to a proportional change in blood flow. The precise control of the regulation of blood flow serves to minimize the work of the heart, while ensuring an adequate supply of oxygen to the working muscles. The need for this precise control of blood flow to the muscle becomes apparent when you consider that active skeletal muscle comprises about ˜40% of body mass and that muscle-specific blood flow can increase nearly 100-fold from rest to intense exercise. Given the limitation in maximum cardiac output, the heart can only supply a fraction of the active muscles with maximum blood flow and during high intensity exercises involving greater muscle mass, vascular conductance has to be well regulated or pressure blood pressure could drop.

This factor evaluates and analyzes the performance of Functional Sympatholysis, that is, the performance of the nervous system on cardiovascular function in the redistribution of blood flow. In order to analyze this factor, rest intervals are used, since once the exercise ceases, the vasoconstrictive effect of the nervous system ceases, but the opposing vasodilator effects at the muscular level remain active as they are slower. This allows to analyze the magnitude of their performance during the exercise that was previously carried out.

In order to evaluate and establish the performance of Factor (B2.2), the following steps must be followed and the established criteria must be met:

-   -   Calculate, compare and evaluate the maximum value of SmO₂ ^(%),         O₂HHb and ϕO₂HHb of all TM_(S) ^(M), in at least one ID.     -   Calculate, evaluate and determine the value of CSV and the         equivalent NS^(CSV) of the maximum value of SmO₂ ^(%), ϕO₂HHb         and O₂HHb, of all TM_(S) ^(M), in at least one ID.     -   Calculate, evaluate and determine the lowest value of CSV and         the equivalent NS^(CSV) of the maximum value of SmO₂ ^(%),         ϕO₂HHb and O₂HHb, from the combination of at least the 70-75% of         the TM_(S) ^(M), in at least one ID.     -   Determine the type of performance of the Factor (B.2.2), just at         the moment of cessation of locomotor work, based on the         following criteria:         -   Perfect performance if:             -   The maximum values of SmO₂ ^(%), O₂HHb and ϕO₂HHb are                 symmetrically perfect, between all TM_(S) ^(M), in the                 analyzed ID.         -   Optimal performance if:             -   The maximum values of SmO₂ ^(%), O₂HHb and ϕO₂HHb, are                 symmetrically optimal, between the combination of at                 least the 70-75% of the TM_(S) ^(M), in the analyzed ID.         -   Asymmetric Performance if:             -   The maximum values of SmO₂ ^(%), O₂HHb and ϕO₂HHb, are                 not symmetrically optimal, between the combination of at                 least the 70-75% of the TM_(S) ^(M), in the analyzed ID.

B2.3. Evolution Factor of Analytical Cardiovascular Performance (B2.3)

When multiple work intervals are performed with their respective rest intervals, the evolution of cardiovascular performance in the delivery/demand of blood flow of a muscle tissue can be evaluated. This factor analyzes the evolution of this performance and for this a comparison is made between the values of the analyzed muscle tissue, in the rest intervals analyzed.

In order to evaluate and establish the performance of Factor (B2.3), the following steps must be followed and the established criteria must be met:

-   -   Calculate, compare and evaluate the maximum value of SmO2¹         between two ID, separated by at least one IT of at least one         TM^(M).     -   Determine the type of performance of the Factor (B.2.3) that         develops, at least one analyzed TM^(M), between two ID,         separated by a IT, based on the following criteria:         -   Significant increase:             -   Increase >5% SmO2^(%), in the maximum value of SmO2^(%),                 of the analyzed TM^(M), in the 2nd ID in compared to the                 1ST LD.         -   Slight Increase:             -   Increase between [2.01-5%] SmO2^(%), in the maximum                 value of SmO2^(%), of the analyzed TM^(M), in the 2nd ID                 in compared to the 1ST LD.         -   Slight decrease if:             -   Decrease between [2.01-5%] SmO2^(%) in the maximum value                 of SmO2^(%), of the analyzed TM^(M), in the 2nd ID in                 compared to the 1ST LD.         -   Significant decrease if:             -   Decrease >5% SmO2^(%), in the maximum value of SmO2^(%)                 of the analyzed TM^(M), in the 2nd ID in compared to the                 1ST LD.         -   Maintenance if:             -   Decrease or increase of between [0-2%] SmO2_(%), in the                 maximum value of SmO2^(%), of the analyzed TM^(M), in                 the 2nd ID in compared to the 1ST LD

B2.4. Muscle Pumping Factor of Blood Flow

The Muscle Blood Flow Pumping Factor is that factor that analyzes and evaluates the performance of each muscle tissue during locomotor movement to perform muscle contraction and compress the blood vessels located in said muscle tissues. This compression of the blood vessels causes the venous return of blood flow to the heart.

Each muscle tissue must be able to generate sufficient mechanical stress on the blood vessels to drive blood flow through the venous system. The collective performance of this factor is important to maintain efficient venous return.

The cardiovascular system is a closed circuit system, any alteration of the maximum venous return potential affects the entire cardiovascular system, because if the maximum volume of blood that returns to the heart through the venous return decreases, cardiac filling will decrease, then the stroke volume will be lower, and later the arterial pressure will drop, since the volume of blood ejected by the heart will be lower.

To establish a Limitation on Factor (B2.4) in at least one TM^(M), the following steps and criteria must be met:

-   -   Calculate, compare and evaluate the TGV [         ] of         |Y|ThB of at least one TM^(M), in the R-INT^(TL)         (U_(Ae)−U_(ANA)) and (U_(ANA)−Maximum Intensity [Int_(Max)]).     -   The value of |Y|SmO₂ ^(%) of the analyzed TM^(M) is less than or         equal to 45% SmO₂ ^(%), in at least one INT^(TL) or R-INT^(TL)         greater than or equal to U_(Amin).     -   Determine if the following criteria are met to establish a         limitation in Factor (B2.4):         -   The TGV             |Y|ThB of the analyzed TM^(M) is [             >0.0005], in the R-INT^(TL) (U_(Ae)−U_(ANA)) or             (U_(ANA)−Maximum Intensity [Int_(Max)]).         -   The value of |Y|SmO₂ ^(%) of the analyzed TM^(M) is less             than or equal to 45% SmO₂ ^(%), in at least one INT^(TL) or             R-INT^(TL) greater than or equal to U_(Amin).

B3. Neurovascular System B3.1. Neuromuscular Activation Factor (Intermuscular Coordination)

The Neuromuscular Activation Factor (Intermuscular Coordination) is that factor that analyzes and evaluates the performance of the nervous system to activate each muscle tissue during locomotor movement. This factor includes the analysis, evaluation and comparison between the different levels of metabolic activation generated by the nervous system between the muscular tissues that participate in locomotor activity (Intermuscular Coordination).

A perfect or efficient neuromuscular activation of all muscle tissues is one in which all muscle tissues involved in locomotor activity have the same level of metabolic activation to cope with the demands of locomotor movement.

When there are multiple levels of activation, an optimal (efficient) activation range is established to be able to assess the activation level of each muscle tissue individually. A muscle tissue that is below or above said optimal activation zone can be interpreted that that tissue has a higher u/or lower muscle activation and therefore the metabolic efficiency of the set of muscle tissues decreases.

A greater symmetry in the levels of muscle activation during locomotor work translates into a lower energy cost to cope with said locomotor work/movement, on the other hand, a greater asymmetry of the whole and/or a muscle tissue means a higher energy cost for cope with locomotor work/movement [Running Economy].

Therefore, there is an individual muscle activation level of each muscle tissue and a global muscle activation of all muscle tissues for each intensity of locomotor work of an evaluated subject, that is, multiple neuromuscular activation factors.

To establish a Factor Performance Level (B3.1) of at least one TM^(M), the following steps and criteria must be met:

-   -   Evaluate the value |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ϕO₂HHb, of at         least one TM^(M), in at least one INT^(TL) or R-INT^(TL) greater         or equal than U_(Amin).     -   Calculate the SmO₂ ^(%), O₂HHb and ϕO₂HHb values of the Upper         Limit of the Optimal Zone (|         |         ) and the Lower Limit of the Optimal Zone (|         |         ), in the determined INT^(TL) or R-INT^(TL), from the following         calculation:

|

|

=(Mediana de{|Y| ₁ ;|Y| ₂ ;|Y| ₃; . . . ,})+(σ{|Y| ₁ ;|Y| ₂ ;|Y| ₃; . . . ,})/2

|

|

=(Mediana de{|Y| ₁ ;|Y| ₂ ;|Y| ₃; . . . ,})−(σ{|Y| ₁ ;|Y| ₂ ;|Y| ₃; . . . ,})/2

where |Y| is the value (SmO₂ ^(%), O₂HHb or ϕO₂HHb) of each TM^(M), in the determined INT^(TL) or R-INT^(TL) and (σ) the standard deviation of (SmO₂ ^(%), O₂HHb or ϕO₂HHb) of each TM^(M), in the determined INT^(TL) or R-INT^(TL).

-   -   Compare and evaluate the values of |Y|SmO₂ ^(%), |Y|O₂HHb and         |Y|ϕO₂HHb, of at least one TM^(M) with the values of (SmO₂ ^(%),         O₂HHb and ϕO₂HHb of the |         |         and the |         |         , in at least one determined INT^(TL) or R-INT^(TL) greater or         equal than U_(Amin).     -   determine the level of Neuromuscular Activation performed by at         least one TM^(M) (Factor B3.1), based on the following criteria:         -   Null or Very Low Neuromuscular Activation if:             -   The value of |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ϕO₂HHb of the                 TM^(M) analyzed is greater than SmO₂ ^(%), O₂HHb and                 ϕO₂HHb|                 |                 , in the determined INT^(TL) or R-INT^(TL)             -   The value of |Y|SmO₂ ^(%) of the TM^(M) analyzed, is                 ≥75% SmO₂ ^(%) in the determined INT^(TL) or R-INT^(TL).         -   Less or Low Neuromuscular Activation if:             -   The value of |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ϕO₂HHb of the                 TM^(M) analyzed is greater than SmO₂ ^(%), O₂HHb and                 ϕO₂HHb|                 |                 , in the determined INT^(TL) or R-INT^(TL).             -   The value of |Y|SmO₂ ^(%) of the TM^(M) analyzed, is                 <75% SmO₂ ^(%), in the determined INT^(TL) or R-INT^(TL)         -   Optimal Neuromuscular Activation if:             -   The value of |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ϕO₂HHb, of                 the TM^(M) analyzed, is less than SmO₂ ^(%), O₂HHb and                 ϕO₂HHb |                 |                 , in the determined INT^(TL) or R-INT^(TL).             -   The value of |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ϕO₂HHb, of                 the TM^(M) analyzed, is greater than SmO₂%, O₂HHb and                 ϕO₂HHb |                 |                 , in the determined INT^(TL) or R-INT^(TL)         -   Excessive or Priority Neuromuscular Activation if             -   The value of |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ϕO₂HHb, of                 the TM^(M) analyzed, is less than SmO₂ ^(%), O₂HHb and                 ϕO₂HHb |                 |                 , in the determined INT^(TL) or R-INT^(TL).             -   The value of |Y|SmO₂ ^(%) of the TM^(M) analyzed is ≤25%                 SmO₂ ^(%), in some INT^(TL) or R-INT^(TL)         -   High Neuromuscular Activation if:             -   The value of |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ϕO₂HHb, of                 the TM^(M) analyzed, is less than SmO₂ ^(%), O₂HHb and                 ϕO₂HHb |                 |                 , in the determined INT^(TL) or R-INT^(TL).             -   The value of |Y|SmO₂ ^(%) of the TM^(M) analyzed is >25%                 SmO₂ ^(%), in all the INT^(TL) or R-INT^(TL) greater                 than or equal to U_(Amin).

B3.2. Neurovascular Structural Factor (Speed and Power of Muscle Contraction)

The Neurovascular Structural Factor (Speed and Power of Muscle Contraction) is that factor that analyzes and evaluates the potential of [vasodilation vs vasoconstriction] in each muscle tissue evaluated.

When the action potential is produced in the muscle tissue to produce the muscle contraction necessary for locomotor movement, this nerve potential also has an inhibitory effect and some chain responses that cause an inhibition of the vasoconstrictive effect of the sympathetic nervous system. On the other hand, it causes marked vasodilation in the arteriolar tissues close to the place where the action potential is produced.

Therefore, vasodilation in muscle tissues is directly correlated with the speed of muscle contraction and/or the level of activation of said muscle tissue. Muscle tissue must have an optimal level of vasodilation to allow optimal oxygen-laden blood flow to arrive. Excessive vasodilation may mean that excessively vasodilated muscle tissue receives a greater volume of blood flow, more than is necessary to meet the metabolic oxygen demands that muscle tissue requires. This fact causes an inefficiency in the delivery of oxygen-laden blood flow by not being able to deliver this excess blood flow to other muscle tissues that do require it, causing a deficit in the delivery of oxygen-laden blood flow.

To establish a Limitation on Factor (B3.2) in at least one TM^(M), the following steps and criteria must be met:

-   -   Calculate the median value of ThB (ThB), of at least one TM^(M),         in at least one IT of average INT^(TL) or R-INT^(TL) greater         than or equal to U_(Amin).     -   Calculate the standard deviation (σ) of at least one TM^(M), in         at least one IT of average INT^(TL) or R-INT^(TL) greater than         or equal to U_(Amin).     -   Calculate the minimum value of ThB in at least one ID perform         after an IT analyzed, of average INT^(TL) or R-INT^(TL) greater         than or equal to U_(Amin).     -   Calculate and evaluate the difference between [(Y̆ThB)−σ] of at         least one IT and the minimum value of ThB of his         posterior/successive ID.     -   Determine if the following criteria are met to establish a         limitation in Factor (B3.2) in at least one TM^(M):         -   The value [Median Y̆ThB−σThB] of the analyzed TM^(M), of the             analyzed IT of INT^(TL) or R-INT^(TL) greater than or equal             to U_(Amin), is greater than the minimum value of ThB of the             successive ID to the analyzed IT.

B3.3. Muscle Contraction Speed

The Muscle Contraction Speed Factor is that factor that analyzes and evaluates the frequency at which muscle contractions occur during locomotor activity.

To produce a muscle contraction, the nervous system produces an electrical impulse that causes alterations in cellular metabolism to generate the contraction of muscle fibers. Said electrical impulse also has an inhibiting effect on the local vasoconstrictor receptors of the arteriolar network of the muscle.

A high production of these impulses produces a high inhibition of vasoconstrictors and consequently increases the vasodilation of the arteries in the TM. At a certain point, an excessive vasodilation produces an excess delivery of blood flow, whereas a low frequency of electrical impulse discharge in the muscle will produce a low vasodilation and a greater vasoconstriction, producing an arterial occlusion mediated by the sympathetic nervous system.

For this reason, this factor is in charge of evaluating muscle performance as a whole to establish which muscle contraction frequency (FCM) or Muscle Contraction Frequency Range (R-FCM) is optimal for the hemodynamic performance of the cardiovascular system.

To evaluate and establish the performance of Factor (B3.3) in the set of TM^(M), the following steps and criteria must be met:

-   -   Calculate, compare and evaluate the median value (Y̆) of SmO₂         ^(%), O₂HHb, ϕO₂HHb, HHb and ϕHHb, of each TM^(M), in at least         one determined INT^(TL) or R-INT^(TL), in each one of the         developed FCM and in the determined environmental conditions,         during the AFC^(M).     -   Determine all the Optimal FCM or Optimal R-FCM, of at least one         determined INT^(TL) or R-INT^(TL), under certain environmental         conditions, during AFC^(M), based on the fulfillment of the         following criteria established for the factor (B3.3):         -   Have the highest value of Y̆SmO₂ ^(%) or a difference             ≤(±2.5%) SmO₂ ^(%) with respect to the highest value Y̆SmO₂             ^(%), of all FCM or R-FCM, in at least the 78-81% of the             TM^(M), in the determined INT^(TL) or R-INT^(TL), during the             determined AFC^(M).         -   Have the highest value of Y̆O₂HHb^(%) or a difference ≤(±0.30             g/dL) O₂HHb with respect to the highest value Y̆O₂HHb, of all             FCM or R-FCM, in at least the 78-81% of the TM^(M), in the             determined INT^(TL) or R-INT^(TL), during the determined             AFC^(M).         -   Have the highest value of Y̆ϕO₂HHb^(%) or a difference             ≤(±1.00 g/dL) ϕO₂HHb with respect to the highest value             Y̆ϕO₂HHb, of all FCM or R-FCM, in at least the 78-81% of the             TM^(M), in the determined INT^(TL) or R-INT^(TL), during the             determined AFC^(M).         -   Have the lowest value of Y̆HHb^(%) or a difference ≤(±1.00             g/dL) HHb with respect to the lowest value Y̆HHb, of all FCM             or R-FCM, in at least the 78-81% of the TM^(M), in the             determined INT^(TL) or R-INT^(TL), during the determined             AFC^(M).         -   Have the lowest value of Y̆ϕHHb^(%) or a difference ≤(±1.00             g/dL) ϕHHb with respect to the lowest value Y̆ϕHHb, of all             FCM or R-FCM, in at least the 78-81% of the TM^(M), in the             determined INT^(TL) or R-INT^(TL), during the determined             AFC^(M).

The method of the invention described is of particular interest in the following practical applications, in which its advantages are evident:

1) Sports and Physical Activity Area

-   -   Evaluation of sports performance and/or physical activity:         -   The method of the invention makes it possible to             individually evaluate the hemodynamic performance of each             TM^(M) during an AFC and establish an individual performance             level for each TM^(M). It also allows you to analyze the             global performance of all TM_(S) ^(M) developed during the             AFC.         -   It allows identifying the physiological factor and/or             factors that limit locomotor performance or affect             positively and/or negatively, to a greater and/or lesser             extent to performance.         -   It allows to quantify the economy/efficiency of locomotor             performance and establish which factor or factors affect             positively and negatively.         -   It allows to evaluate and monitor the fatigue of the             sympathetic nervous system         -   It allows to evaluate, monitor and establish the multiple             physiological thresholds associated to one INT^(TL) or             R-INT^(TL)         -   It allows to evaluate, monitor and establish the optimal             muscle contraction frequencies for the AFC performed.     -   Applications in Biomechanical Evaluations, performance         evaluations of technical gestures and/or aerodynamic         evaluations:         -   The described method allows to evaluate the performance of             the TM_(S) ^(M) in different AFC conditions (modification of             biomechanical patterns, technical gestures, body posture . .             . ) and to establish which of the different conditions             developed reports a better muscular hemodynamic performance             for the analyzed subject.     -   Nutritional and pharmacological applications:         -   The method of the invention also makes it possible to             evaluate the effect produced by the intake of nutritional             supplements, the different dietary habits or the application             of subcutaneous substances on muscle hemodynamic performance             during AFC.     -   Applications in Rehabilitations, return to sport and injury         prevention         -   The method of the invention makes it possible to evaluate,             monitor and establish the performance of TM_(S) ^(M) during             evolution or recovery within a rehabilitation program,             readaptation (return to sport) of one or more TM_(S) ^(M)             after an injury, accident and/or illness.         -   It allows to evaluate, monitor and establish the performance             of the TM_(S) ^(M) and detect possible alterations,             decreases or inefficiencies in muscle performance during AFC             that may pose a risk of injury during the next AFC^(M)     -   Monitoring the hemodynamic performance of TM_(S) ^(M)         continuously during training plans:         -   The method of the invention makes it possible daily to             evaluate performance during a training or physical activity             plan to determine the evolution of the hemodynamic             performance of at least some performance factors

2) Area of Medicine, Physiotherapy, Dietetics and Research:

-   -   Evaluate the effect of the application or introduction of         medications, drugs, nutritional supplements, ergogenic or         similar on muscle hemodynamic performance during locomotor         exercise.     -   The method described allows to evaluate the variation in the         hemodynamic performance due to the effect of the substance,         either the immediate effect, evaluating the alterations that it         produces immediately, or for a determined time by means of pre &         post evaluation procedure.     -   Scientific studies: The method described allows to evaluate the         effect caused by the application of invasive or non-invasive         intervention protocols on the hemodynamic performance of muscle         tissues during locomotor actions.

3) Industrial and Textile Area:

-   -   Evaluation of the effect produced by the use of different         textile fabrics on muscle hemodynamic performance during         locomotor exercise, either through variations in sizes, shapes,         composition of materials, colours and/or others.     -   Adjustment of the dimensions and technical measurements of         devices or tools that are used in AFC from the patterns obtained         in the hemodynamic evaluation. For example, in the manufacture         of bikes, prostheses or materials with which physical activity         is carried out, adjusting the dimensions and measurements to         each person.

The monitoring method of the invention described makes it possible to evaluate and monitor the muscle hemodynamic performance of all TM_(S) ^(M) analytically, globally and both at the same time, during a AFC. This evaluation includes TM_(S) ^(M) that are not directly involved in locomotor work, such as the muscular tissues responsible for respiratory movements.

Likewise, the method of the invention allows the generation of an individualized physiological profile, as it offers complete information on the factors that affect or limit the analytical hemodynamic performance of each TM^(M) and, at the same time, the general hemodynamic performance of all TM_(S) ^(M) as a whole. Thus establishing, in a very analytical way, the physiological factors that limit the performance of subject.

On the other hand, the method of the invention allows the analysis to be carried out in the training sessions themselves without the need to make any modification of the AFC that the subject is developing, or any specific protocol, or any environmental or environmental conditions. On the contrary, the usual evaluation methods generally require a controlled environment, in laboratories or closed places, moving away from the reality of the AFC developed by the majority of subjects.

The method of the invention also makes it possible to quantify the running economy or efficiency of work of TM_(S) ^(M) from an analytical physiological point of view. By analyzing the individual performance of each TM^(M) separately, then jointly with other TM_(S) ^(M), it allows quantifying the running economy or efficiency of work to be able define it, as well as establishing the specific tissues and/or factors that positively affect and/or negatively to the economy of work.

The evaluation methods, up to now, measured and quantified the efficiency of locomotor performance from general values of the whole body such as the analysis of metabolic gases or blood lactate concentrations, or using external variables such as power development values or measurements of strength in exercises. However, with the method of the invention, the performance performed by each of the muscle tissues is directly evaluated and at the same time the global work, allowing to identify the muscle tissues that are negatively affecting the economy of work and, at the same time, evaluate how the performance is being in the set of muscular tissues.

By identifying the factors that negatively affect or limit performance, the method of the invention makes it possible to establish action or training protocols to specifically improve said factors optimally and improve locomotor performance.

Currently, there is no other monitoring method that allows offering analytical and global information on hemodynamic performance in a non-invasive way, with the advantages of the method of the invention.

The invention also refers to a monitoring and evaluation system of the physical performance of a subject comprising:

-   -   two or more near infrared sensors (NIRS);     -   a cardiac monitoring device;     -   a locomotor work intensity device or monitor;     -   a data processing system connected to the two or more near         infrared sensors (NIRS), the cardiac monitoring device and the         locomotor work intensity device or monitor and configured to         carry out the steps of the method of the invention previously         described.

DESCRIPTION OF THE DRAWINGS

To complement the description that is being made and in order to help a better understanding of the characteristics of the invention, according to a preferent example of a practical embodiment thereof, a set of drawings is attached as an integral part of said description, in which, for illustrative and non-limiting purposes, the following has been represented:

FIG. 1 shows the general scheme of all the factors that allows evaluating and analyzing the muscle hemodynamic performance of all muscle tissues as a whole or the analytical performance of each muscle tissue.

FIG. 2 graphically represent the cyclical Physical Activity performed by the subject and the values of (1) Heart Rate [bpm], (2) Pedalling Cadence [rpm] and (3) Power [Watts].

FIG. 3 graphically represent the relationship between the values of SmO2¹ (Axis Y) of the RF L (1) and RF R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of RF L (3) and RF R (4).

FIG. 4 graphically represent the relationship between the values of SmO2^(%) (Axis Y) of the VL L (1) and VL R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VL L (3) and VL R (4).

FIG. 5 graphically represent the relationship between the values of SmO2^(%) (Axis Y) of the ST L (1) and ST R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of ST L (3) and ST R (4).

FIG. 6 graphically represent the relationship between the values of SmO2^(%) (Axis Y) of the GM L (1) and GM R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GM L (3) and GM R (4).

FIG. 7 graphically represent the relationship between the values of SmO2^(%) (Axis Y) of the VI L (1) and VI R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VI L (3) and VI R (4).

FIG. 8 graphically represent the relationship between the values of SmO2^(%) (Axis Y) of the GA L (1) and GA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GA L (3) and GA R (4).

FIG. 9 graphically represent the relationship between the values of SmO2^(%) (Axis Y) of the TA L (1) and TA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of TA L (3) and TA R (4).

FIG. 10 graphically represent the relationship between the values of ThB (Axis Y) of the RF L (1) and RF R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of RF L (3) and RF R (4).

FIG. 11 graphically represent the relationship between the values of ThB (Axis Y) of the VL L (1) and VL R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VL L (3) and VL R (4).

FIG. 12 graphically represent the relationship between the values of ThB (Axis Y) of the ST L (1) and ST R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of ST L (3) and ST R (4).

FIG. 13 graphically represent the relationship between the values of ThB (Axis Y) of the GM L (1) and GM R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GM L (3) and GM R (4).

FIG. 14 graphically represent the relationship between the values of ThB (Axis Y) of the VI L (1) and VI R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VI L (3) and VI R (4).

FIG. 15 graphically represent the relationship between the values of ThB (Axis Y) of the GA L (1) and GA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GA L (3) and GA R (4).

FIG. 16 graphically represent the relationship between the values of ThB (Axis Y) of the TA L (1) and TA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of TA L (3) and TA R (4).

FIG. 17 graphically represent the relationship between the values of ϕThB (Axis Y) of the RF L (1) and RF R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of RF L (3) and RF R (4).

FIG. 18 graphically represent the relationship between the values of ϕThB (Axis Y) of the VL L (1) and VL R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VL L (3) and VL R (4).

FIG. 19 graphically represent the relationship between the values of ϕThB (Axis Y) of the ST L (1) and ST R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of ST L (3) and ST R (4).

FIG. 20 graphically represent the relationship between the values of ϕThB (Axis Y) of the GM L (1) and GM R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GM L (3) and GM R (4).

FIG. 21 graphically represent the relationship between the values of ϕThB (Axis Y) of the VI L (1) and VI R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VI L (3) and VI R (4).

FIG. 22 graphically represent the relationship between the values of ϕThB (Axis Y) of the GA L (1) and GA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GA L (3) and GA R (4).

FIG. 23 graphically represent the relationship between the values of ϕThB (Axis Y) of the TA L (1) and TA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of TA L (3) and TA R (4).

FIG. 24 graphically represent the relationship between the values of O₂HHb (Axis Y) of the RF L (1) and RF R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of RF L (3) and RF R (4).

FIG. 25 graphically represent the relationship between the values of O₂HHb (Axis Y) of the VL L (1) and VL R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VL L (3) and VL R (4).

FIG. 26 graphically represent the relationship between the values of O₂HHb (Axis Y) of the ST L (1) and ST R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of ST L (3) and ST R (4).

FIG. 27 graphically represent the relationship between the values of O₂HHb (Axis Y) of the GM L (1) and GM R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GM L (3) and GM R (4).

FIG. 28 graphically represent the relationship between the values of O₂HHb (Axis Y) of the VI L (1) and VI R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VI L (3) and VI R (4).

FIG. 29 graphically represent the relationship between the values of O₂HHb (Axis Y) of the GA L (1) and GA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GA L (3) and GA R (4).

FIG. 30 graphically represent the relationship between the values of O₂HHb (Axis Y) of the TA L (1) and TA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of TA L (3) and TA R (4).

FIG. 31 graphically represent the relationship between the values of HHb (Axis Y) of the RF L (1) and RF R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of RF L (3) and RF R (4).

FIG. 32 graphically represent the relationship between the values of HHb (Axis Y) of the VL L (1) and VL R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VL L (3) and VL R (4).

FIG. 33 graphically represent the relationship between the values of HHb (Axis Y) of the ST L (1) and ST R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of ST L (3) and ST R (4).

FIG. 34 graphically represent the relationship between the values of HHb (Axis Y) of the GM L (1) and GM R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GM L (3) and GM R (4).

FIG. 35 graphically represent the relationship between the values of HHb (Axis Y) of the VI L (1) and VI R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VI L (3) and VI R (4).

FIG. 36 graphically represent the relationship between the values of HHb (Axis Y) of the GA L (1) and GA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GA L (3) and GA R (4).

FIG. 37 graphically represent the relationship between the values of HHb (Axis Y) of the TA L (1) and TA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of TA L (3) and TA R (4).

FIG. 38 graphically represent the relationship between the values of ϕO₂HHb (Axis Y) of the RF L (1) and RF R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of RF L (3) and RF R (4).

FIG. 39 graphically represent the relationship between the values of ϕO₂HHb (Axis Y) of the VL L (1) and VL R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VL L (3) and VL R (4).

FIG. 40 graphically represent the relationship between the values of ϕO₂HHb (Axis Y) of the ST L (1) and ST R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of ST L (3) and ST R (4).

FIG. 41 graphically represent the relationship between the values of ϕO₂HHb (Axis Y) of the GM L (1) and GM R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GM L (3) and GM R (4).

FIG. 42 graphically represent the relationship between the values of ϕO₂HHb (Axis Y) of the VI L (1) and VI R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VI L (3) and VI R (4).

FIG. 43 graphically represent the relationship between the values of ϕO₂HHb (Axis Y) of the GA L (1) and GA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GA L (3) and GA R (4).

FIG. 44 graphically represent the relationship between the values of ϕO₂HHb (Axis Y) of the TA L (1) and TA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of TA L (3) and TA R (4).

FIG. 45 graphically represent the relationship between the values of ϕHHb (Axis Y) of the RF L (1) and RF R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of RF L (3) and RF R (4).

FIG. 46 graphically represent the relationship between the values of ϕHHb (Axis Y) of the VL L (1) and VL R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VL L (3) and VL R (4).

FIG. 47 graphically represent the relationship between the values of ϕHHb (Axis Y) of the ST L (1) and ST R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of ST L (3) and ST R (4).

FIG. 48 graphically represent the relationship between the values of ϕHHb (Axis Y) of the GM L (1) and GM R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GM L (3) and GM R (4).

FIG. 49 graphically represent the relationship between the values of ϕHHb (Axis Y) of the VI L (1) and VI R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of VI L (3) and VI R (4).

FIG. 50 graphically represent the relationship between the values of ϕHHb (Axis Y) of the GA L (1) and GA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of GA L (3) and GA R (4).

FIG. 51 graphically represent the relationship between the values of ϕHHb (Axis Y) of the TA L (1) and TA R (2) and the values of power (Axis X—Watts), in addition to the representation of the Line of Trend of TA L (3) and TA R (4).

FIG. 52 graphically represent the relationship between the values of the slope

|Y|SmO₂ ^(%) (Axis Y) of the RF L (1) and RF R (2), and the values of power (Axis X—Watts).

FIG. 53 graphically represent the relationship between the values of the slope

|Y|SmO₂ ^(%) (Axis Y) of the VL L (1) and VL R (2), and the values of power (Axis X—Watts).

FIG. 54 graphically represent the relationship between the values of the slope

|Y|SmO₂ ^(%) (Axis Y) of the ST L (1) and ST R (2), and the values of power (Axis X—Watts).

FIG. 55 graphically represent the relationship between the values of the slope

|Y|SmO₂ ^(%) (Axis Y) of the GM L (1) and GM R (2), and the values of power (Axis X—Watts).

FIG. 56 graphically represent the relationship between the values of the slope

|Y|SmO₂ ^(%) (Axis Y) of the VI L (1) and VI R (2), and the values of power (Axis X—Watts).

FIG. 57 graphically represent the relationship between the values of the slope

|Y|SmO₂ ^(%) (Axis Y) of the GA L (1) and GA R (2), and the values of power (Axis X—Watts).

FIG. 58 graphically represent the relationship between the values of the slope

|Y|SmO₂ ^(%) (Axis Y) of the TA L (1) and TA R (2), and the values of power (Axis X—Watts).

FIG. 59 graphically represent the relationship between the values of the slope

|Y|ThB (Axis Y) of the RF L (1) and RF R (2), and the values of power (Axis X—Watts).

FIG. 60 graphically represent the relationship between the values of the slope

|Y|ThB (Axis Y) of the VL L (1) and VL R (2), and the values of power (Axis X—Watts).

FIG. 61 graphically represent the relationship between the values of the slope

|Y|ThB (Axis Y) of the ST L (1) and ST R (2), and the values of power (Axis X—Watts).

FIG. 62 graphically represent the relationship between the values of the slope

|Y|ThB (Axis Y) of the GM L (1) and GM R (2), and the values of power (Axis X—Watts).

FIG. 63 graphically represent the relationship between the values of the slope

|Y|ThB (Axis Y) of the VI L (1) and VI R (2), and the values of power (Axis X—Watts).

FIG. 64 graphically represent the relationship between the values of the slope

|Y|ThB (Axis Y) of the GA L (1) and GA R (2), and the values of power (Axis X—Watts).

FIG. 65 graphically represent the relationship between the values of the slope

|Y|ThB (Axis Y) of the TA L (1) and TA R (2), and the values of power (Axis X—Watts).

FIG. 66 graphically represent the relationship between the values of the slope

|Y|ϕThB (Axis Y) of the RF L (1) and RF R (2), and the values of power (Axis X—Watts).

FIG. 67 graphically represent the relationship between the values of the slope

|Y|ϕThB (Axis Y) of the VL L (1) and VL R (2), and the values of power (Axis X—Watts).

FIG. 68 graphically represent the relationship between the values of the slope

|Y|ϕThB (Axis Y) of the ST L (1) and ST R (2), and the values of power (Axis X—Watts).

FIG. 69 graphically represent the relationship between the values of the slope

|Y|ϕThB (Axis Y) of the GM L (1) and GM R (2), and the values of power (Axis X—Watts).

FIG. 70 graphically represent the relationship between the values of the slope

|Y|ϕThB (Axis Y) of the VI L (1) and VI R (2), and the values of power (Axis X—Watts).

FIG. 71 graphically represent the relationship between the values of the slope

|Y|ϕThB (Axis Y) of the GA L (1) and GA R (2), and the values of power (Axis X—Watts).

FIG. 72 graphically represent the relationship between the values of the slope

|Y|ϕThB (Axis Y) of the TA L (1) and TA R (2), and the values of power (Axis X—Watts).

FIG. 73 graphically represent the relationship between the values of the slope

|Y|O₂HHb (Axis Y) of the RF L (1) and RF R (2), and the values of power (Axis X—Watts).

FIG. 74 graphically represent the relationship between the values of the slope

|Y|O₂HHb (Axis Y) of the VL L (1) and VL R (2), and the values of power (Axis X—Watts).

FIG. 75 graphically represent the relationship between the values of the slope

|Y|O₂HHb (Axis Y) of the ST L (1) and ST R (2), and the values of power (Axis X—Watts).

FIG. 76 graphically represent the relationship between the values of the slope

|Y|O₂HHb (Axis Y) of the GM L (1) and GM R (2), and the values of power (Axis X—Watts).

FIG. 77 graphically represent the relationship between the values of the slope

|Y|O₂HHb (Axis Y) of the VI L (1) and VI R (2), and the values of power (Axis X—Watts).

FIG. 78 graphically represent the relationship between the values of the slope

|Y|O₂HHb (Axis Y) of the GA L (1) and GA R (2), and the values of power (Axis X—Watts).

FIG. 79 graphically represent the relationship between the values of the slope

|Y|O₂HHb (Axis Y) of the TA L (1) and TA R (2), and the values of power (Axis X—Watts).

FIG. 80 graphically represent the relationship between the values of the slope

|Y|HHb (Axis Y) of the RF L (1) and RF R (2), and the values of power (Axis X—Watts).

FIG. 81 graphically represent the relationship between the values of the slope

|Y|HHb (Axis Y) of the VL L (1) and VL R (2), and the values of power (Axis X—Watts).

FIG. 82 graphically represent the relationship between the values of the slope

|Y|HHb (Axis Y) of the ST L (1) and ST R (2), and the values of power (Axis X—Watts).

FIG. 83 graphically represent the relationship between the values of the slope

|Y|HHb (Axis Y) of the GM L (1) and GM R (2), and the values of power (Axis X—Watts).

FIG. 84 graphically represent the relationship between the values of the slope

|Y|HHb (Axis Y) of the VI L (1) and VI R (2), and the values of power (Axis X—Watts).

FIG. 85 graphically represent the relationship between the values of the slope

|Y|HHb (Axis Y) of the GA L (1) and GA R (2), and the values of power (Axis X—Watts).

FIG. 86 graphically represent the relationship between the values of the slope

|Y|HHb (Axis Y) of the TA L (1) and TA R (2), and the values of power (Axis X—Watts).

FIG. 87 graphically represent the relationship between the values of the slope

|Y|ϕO₂HHb (Axis Y) of the RF L (1) and RF R (2), and the values of power (Axis X—Watts).

FIG. 88 graphically represent the relationship between the values of the slope

|Y|ϕO₂HHb (Axis Y) of the VL L (1) and VL R (2), and the values of power (Axis X—Watts).

FIG. 89 graphically represent the relationship between the values of the slope

|Y|ϕO₂HHb (Axis Y) of the ST L (1) and ST R (2), and the values of power (Axis X—Watts).

FIG. 90 graphically represent the relationship between the values of the slope

|Y|ϕO₂HHb (Axis Y) of the GM L (1) and GM R (2), and the values of power (Axis X—Watts).

FIG. 91 graphically represent the relationship between the values of the slope

|Y|ϕO₂HHb (Axis Y) of the VI L (1) and VI R (2), and the values of power (Axis X—Watts).

FIG. 92 graphically represent the relationship between the values of the slope

|Y|ϕO₂HHb (Axis Y) of the GA L (1) and GA R (2), and the values of power (Axis X—Watts).

FIG. 93 graphically represent the relationship between the values of the slope

|Y|ϕO₂HHb (Axis Y) of the TA L (1) and TA R (2), and the values of power (Axis X—Watts).

FIG. 94 graphically represent the relationship between the values of the slope

|Y|ϕHHb (Axis Y) of the RF L (1) and RF R (2), and the values of power (Axis X—Watts).

FIG. 95 graphically represent the relationship between the values of the slope

|Y|ϕHHb (Axis Y) of the VL L (1) and VL R (2), and the values of power (Axis X—Watts).

FIG. 96 graphically represent the relationship between the values of the slope

|Y|ϕHHb (Axis Y) of the ST L (1) and ST R (2), and the values of power (Axis X—Watts).

FIG. 97 graphically represent the relationship between the values of the slope

|Y|ϕHHb (Axis Y) of the GM L (1) and GM R (2), and the values of power (Axis X—Watts).

FIG. 98 graphically represent the relationship between the values of the slope

|Y|ϕHHb (Axis Y) of the VI L (1) and VI R (2), and the values of power (Axis X—Watts).

FIG. 99 graphically represent the relationship between the values of the slope

|Y|ϕHHb (Axis Y) of the GA L (1) and GA R (2), and the values of power (Axis X—Watts).

FIG. 100 graphically represent the relationship between the values of the slope

|Y|ϕHHb (Axis Y) of the TA L (1) and TA R (2), and the values of power (Axis X—Watts).

PREFERENTIAL REALIZATION OF THE INVENTION

Subject Evaluated

-   -   Age: 25 years     -   Height: 178 cm     -   Gender: Male     -   Weight: 68 Kg     -   Sport: Cycling

Material Used for the Activity or Monitored Locomotor Exercise

-   -   14 NIRS devices     -   1 Power Sensor     -   1 Direct drive roller     -   1 Cadence Sensor     -   1 Heart Rate Band     -   1 Activity Monitor     -   1 Road Bike of the subject's own

Data Recording Procedures for the Evaluation and Monitoring Method

-   -   1. Place and adhere 12 near-infrared spectroscopy (NIRS) devices         on each monitored muscle tissue that involved in locomotor         activity during cycling (TM^(M)):         -   a. Right Vastus Lateral (VL R) and Left Vastus Lateral (VL             L)         -   b. Right Rectus Femoris (RF R) and Left Rectus Femoris (RF             L)         -   c. Right Vast Internal (VI R) and Left Vast Internal (VI L)         -   d. Right Semitendinosus (ST R) and Left Semitendinosus (ST             L)         -   e. Right Gluteus Maximus (GM R) and Left Gluteus Maximus (GM             L)         -   f. Right Gastrocnemius (GA R) and Left Gastrocnemius (GA L)         -   g. Right Tibialis Anterior (AT R) and Left Tibialis Anterior             (TA L)     -   2. Place the heart rate band superficially under the user's         chest.     -   3. Start the data logging of all devices and activity monitors         when the activity starts, recording of (hour: minute: second)         exact of the start of the locomotive activity.     -   4. Locomotive Activity Monitored and Recorded (AFC^(M)):         -   a. In the Table 1 shows the characteristics of the locomotor             work session carried out and the data related to external             locomotor performance parameters. In FIG. 2 , can see the             graphic representation of the external locomotor performance             values developed by the subject during the session.

TABLE 1 The data of the session carried out Start Power (Watts) Cadence (rpm) HR (ppm) Work Duration Time Desv Desv Desv Interval (hh:mm:ss) (hh:mm:ss) Average Median Est Max Average Median Est Max Average Median Est Max IT 01 0:10:00 0:00:00 88 84 20 221 77 79 12 87 109 109 5.7 119 ID 01 0:03:00 0:10:00 98 93 11 IT 02 0:04:00 0:13:00 148 150 15 175 34 0 45 95 127 131 12 137 ID 02 0:01:00 0:17:00 116 123 15 IT 03 0:04:00 0:18:00 150 150 20 315 66 69 15 73 122 126 11 131 ID 03 0:01:00 0:22:00 116 123 12 IT 04 0:04:00 0:23:00 148 150 14 163 84 90 22 95 126 130 11 137 ID 04 0:01:00 0:27:00 120 120 7.6 IT 05 0:04:00 0:28:00 148 150 16 160 73 76 15 79 124 127 8.2 132 ID 05 0:01:00 0:32:00 108 102 12 IT 06 0:04:00 0:33:00 149 150 12 163 82 85 15 90 127 130 9.5 134 ID 06 0:01:00 0:37:00 114 110 9.9 IT 07 0:04:00 0:38:00 149 150 11 159 78 81 15 85 126 130 8.3 133 ID 07 0:06:00 0:42:00 103 102 11 IT 08 0:04:00 0:48:00 99 101 10 113 77 81 16 87 114 116 9.7 123 ID 08 0:01:00 0:52:00 106 104 5.7 IT 09 0:04:00 0:53:00 124 125 13 165 77 80 15 85 122 125 7.9 129 ID 09 0:01:00 0:57:00 110 106 9.2 IT 10 0:04:00 0:58:00 148 150 14 172 78 81 15 83 131 134 8.8 139 ID 10 0:01:00 1:02:00 122 125 9.2 IT 11 0:04:00 1:03:00 173 175 16 192 77 80 18 85 137 141 11 148 ID 11 0:01:00 1:07:00 131 130 8.8 IT 12 0:04:00 1:08:00 195 200 25 212 77 80 15 84 148 153 13 160 ID 12 0:01:00 1:12:00 135 130 14 IT 13 0:04:00 1:13:00 212 222 30 232 78 81 16 85 159 164 15 172 ID 13 0:01:00 1:17:00 146 143 17 IT 14 0:04:00 1:18:00 245 249 23 261 79 83 16 87 169 176 17 182 ID 14 0:01:00 1:22:00 157 160 16 IT 15 0:04:00 1:23:00 268 274 40 288 79 83 16 87 179 186 17 192 ID 15 0:01:00 1:27:00 167 166 17 IT 16 0:01:37 1:28:00 277 297 66 315 52 72 33 78 175 181 14 190

-   -   5. Ending of locomotor activity and ending of data recording     -   6. Download, synchronization and union of all the data obtained         by each device, through the individual registration timescale of         each device used during the session.     -   7. The values are calculated for each TM^(M) of Oxygen-Charged         Capillary Hemoglobin (O₂HHb), Oxygen-Discharged Capillary         Hemoglobin (HHb), Muscle Hemoglobin Blood Flow (ϕThB), Muscular         Blood Flow of Oxygen-Charged Capillary Hemoglobin (O₂HHb) and         Muscular Blood Flow of Oxygen-Discharged Hemoglobin (ϕHHb), from         the recorded data of Muscle Oxygen Saturation (SmO₂ ^(%)) and         Capillary Hemoglobin (ThB).     -   8. Data obtained erroneously and/or by device registration error         during activity are filtered and excluded. Data that are not         within the following parameters and all data obtained from the         calculation of any of them are excluded:         -   a. SMO₂% [Between 1% SmO₂ and 99% SmO₂]         -   b. ThB [Between 9.5 g/dL and 14.9 g/dL]         -   c. HR [Between 40 bpm and 230 bpm]     -   9. The data that present a greater difference than that         established in the following parameters between the determined         value and the contiguous values in the temporary register are         filtered and excluded, and all the data obtained from the         calculation of any of the they:         -   a. Difference of SMO2% [>±10% SmO2%]         -   b. Difference of ThB [>±0.3 g/dL]         -   c. Difference of HR [>±7 ppm]     -   10. In FIG. 3-9 , the data obtained during the activity in         dispersion data where the SmO₂ ^(%) values obtained and/or         calculated are established on the axis (y) and the locomotor         performance data values on the axis (x) external power developed         during locomotive activity can be observed.     -   11. In FIG. 10-16 , the data obtained during the activity in         dispersion data where the ThB values obtained and/or calculated         are established on the axis (y) and the locomotor performance         data values on the axis (x) external power developed during         locomotive activity can be observed.     -   12. In FIG. 17-23 , the data obtained during the activity in         dispersion data where the ϕThB values obtained and/or calculated         are established on the axis (y) and the locomotor performance         data values on the axis (x) external power developed during         locomotive activity can be observed.     -   13. In FIG. 24-30 , the data obtained during the activity in         dispersion data where the O₂HHb values obtained and/or         calculated are established on the axis (y) and the locomotor         performance data values on the axis (x) external power developed         during locomotive activity can be observed.     -   14. In FIG. 31-37 , the data obtained during the activity in         dispersion data where the HHb values obtained and/or calculated         are established on the axis (y) and the locomotor performance         data values on the axis (x) external power developed during         locomotive activity can be observed.     -   15. In FIG. 38-44 , the data obtained during the activity in         dispersion data where the ϕO₂HHb values obtained and/or         calculated are established on the axis (y) and the locomotor         performance data values on the axis (x) external power developed         during locomotive activity can be observed.     -   16. In FIG. 38-44 , the data obtained during the activity in         dispersion data where the ϕHHb values obtained and/or calculated         are established on the axis (y) and the locomotor performance         data values on the axis (x) external power developed during         locomotive activity can be observed.     -   Analysis and Evaluation of the Recorded Data of the Locomotor         Performance     -   1. Calculation of the Minimum Activation Threshold (U_(Amin)),         Aerobic Threshold (U_(Ae)) and Anaerobic Threshold (U_(ANA)).         -   1.1. The values obtained of Power or Cadence of Pedalling             equivalent to “0” are filtered and excluded.         -   1.2. From the values represented in FIGS. 3-58 , the General             Trend Line of the Values is obtained for each graph.         -   1.3. In Table 2, the Equation of the Trend Line             |Y|SmO₂/calculated from the values of SmO₂ ^(%) of each             TM^(M) can be observed.

TABLE 2 Equation of the Trend Line of |Y|SmO₂ ^(%) of each TM^(M) TM Equation of the Trend Line |Y|SmO2 RF L |Y| = −2E−11x⁶ + 3E−08x⁵ − 1E−05x⁴ + 0.0031x³ − 0.4032x² + 27.173x − 657.15 RF R |Y| = −9E−12x⁶ + 1E−08x⁵ − 6E−06x⁴ + 0.0014x³ − 0.202x² + 14.059x − 315.89 Represented in FIG. 3 VL L |Y| = −1E−11x⁶ + 2E−08x⁵ − 7E−06x⁴ + 0.0018x³ − 0.2428x² + 16.733x − 385.62 VL R |Y| = −1E−11x⁶ + 1E−08x⁵ − 7E−06x⁴ + 0.0018x³ − 0.2431x² + 16.924x − 392.28 Represented in FIG. 4 ST L |Y| = −1E−11x⁶ + 1E−08x⁵ − 6E−06x⁴ + 0.0014x³ − 0.191x² + 13.395x − 306.51 ST R |Y| = −1E−11x⁶ + 1E−08x⁵ − 7E−06x⁴ + 0.0017x³ − 0.2249x² + 15.067x − 319.87 Represented in FIG. 5 GM L |Y| = −5E−12x⁶ + 6E−09x⁵ − 3E−06x⁴ + 0.0009x³ − 0.1306x² + 9.7767x − 203.18 GM R |Y| = −5E−12x⁶ + 7E−09x⁵ − 4E−06x⁴ + 0.0009x³ − 0.1303x² + 9.1126x − 157.57 Represented in FIG. 6 VI L |Y| = −1E−11x⁶ + 2E−08x⁵ − 8E−06x⁴ + 0.002x³ − 0.2713x² + 19.337x − 493.21 VI R |Y| = −2E−11x⁶ + 2E−08x⁵ − 1E−05x⁴ + 0.0024x³ − 0.2972x² + 18.768x − 407.38 Represented in FIG. 7 GA L |Y| = 2E−11x⁶ − 2E−08x⁵ + 1E−05x⁴ − 0.0027x³ + 0.3333x² − 20.338x + 545.65 GA R |Y| = 2E−11x⁶ − 3E−08x⁵ + 1E−05x⁴ − 0.0027x³ + 0.3227x² − 19.531x + 537.28 Represented in FIG. 8 TA L |Y| = −3E−11x⁶ + 3E−08x⁵ − 1E−05x⁴ + 0.0033x³ − 0.4137x² + 26.652x − 628.77 TA R |Y| = −1E−11x⁶ + 2E−08x⁵ − 8E−06x⁴ + 0.002x³ − 0.281x² + 19.933x − 502.86 Represented in FIG. 9 [(x) represents the analyzed power value; (|Y|) represents the value of SmO₂ ^(%)]

-   -   -   1.4. In Table 3, the Equation of the Trend Line |Y|ThB             calculated from the values of ThB of each TM^(M) can be             observed.

TABLE 3 Equation of the Trend Line of |Y|ThB of each TM^(M) TM Equation of the Trend Line |Y|ThB RF L |Y| = −5E−14x⁶ + 7E−11x⁵ − 4E−08x⁴ + 1E−05x³ − 0.0016x² + 0.1291x + 8.6505 RF R |Y| = −1E−13x⁶ + 2E−10x⁵ − 9E−08x⁴ + 2E−05x³ − 0.0029x² + 0.1952x + 7.2974 Represented in FIG. 10 VL L |Y| = 4E−13x⁶ − 5E−10x⁵ + 2E−07x⁴ − 5E−05x³ + 0.0063x² − 0.4036x + 22.558 VL R |Y| = −3E−13x⁶ + 3E−10x⁵ − 2E−07x⁴ + 4E−05x³ − 0.005x² + 0.3382x + 3.0815 Represented in FIG. 11 ST L |Y|= −2E−13x⁶ + 3E−10x⁵ − 1E−07x⁴ + 4E−05x³ − 0.0051x² + 0.3543x + 2.395 ST R |Y|= 4E−13x⁶ − 5E−10x⁵ + 3E−07x⁴ − 6E−05x³ + 0.0083x² − 0.5663x + 27.62 Represented in FIG. 12 GM L |Y| = −6E−13x⁶ + 7E−10x⁵ − 3E−07x⁴ + 8E−05x³ − 0.0108x² + 0.7317x − 7.9018 GM R |Y| = −6E−13x⁶ + 7E−10x⁵ − 3E−07x⁴ + 8E−05x³ − 0.0103x² + 0.6872x − 6.6108 Represented in FIG. 13 VI L |Y| = 1E−13x⁶ − 1E−10x⁵ + 7E−08x⁴ − 2E−05x³ + 0.0021x² − 0.1426x + 16.574 VI R |Y| = 2E−13x⁶ − 2E−10x⁵ + 9E−08x⁴ − 2E−05x³ + 0.003x² − 0.2031x + 18.268 Represented in FIG. 14 GA L |Y| = −6E−13x⁶ + 7E−10x⁵ − 3E−07x⁴ + 8E−05x³ − 0.0104x² + 0.6759x − 5.4769 GA R |Y| = −5E−13x⁶ + 6E−10x⁵ − 3E−07x⁴ + 6E−05x³ − 0.0085x² + 0.5747x − 3.3749 Represented in FIG. 15 TA L |Y| = 2E−13x⁶ − 3E−10x⁵ + 1E−07x⁴ − 3E−05x³ + 0.004x² − 0.2698x + 20.29 TA R |Y| = 4E−13x⁶ − 4E−10x⁵ + 2E−07x⁴ − 5E−05x³ + 0.0059x² − 0.3943x + 23.108 Represented in FIG. 16 [(x) represents the analyzed power value; (|Y|) represents the value of ThB]

-   -   -   1.5. In Table 4, the Equation of the Trend Line |Y|ϕThB             calculated from the values of ϕThB of each TM^(M) can be             observed.

TABLE 4 Equation of the Trend Line of |Y|ϕThB of each TM^(M) TM Ecuación de la Línea de Tendencia de |Y|ϕThB RF L |Y| = −4E−12x⁶ + 5E−09x⁵ − 2E−06x⁴ + 0.0006x³ − 0.0731x² + 4.8586x − 105.1 RF R |Y| = −4E−12x⁶ + 5E−09x⁵ − 2E−06x⁴ + 0.0006x³ − 0.0757x² + 4.9991x − 108.03 Represented in FIG. 17 VL L |Y| = −4E−12x⁶ + 5E−09x⁵ − 2E−06x⁴ + 0.0006x³ − 0.0755x² + 5.006x − 109.18 VL R |Y| = −4E−12x⁶ + 5E−09x⁵ − 2E−06x⁴ + 0.0006x³ − 0.0744x² + 4.9425x − 108.01 Represented in FIG. 18 ST L |Y|= −4E−12x⁶ + 5E−09x⁵ − 2E−06x⁴ + 0.0006x³ − 0.0738x² + 4.9112x − 107.45 ST R |Y|= −5E−12x⁶ + 5E−09x⁵ − 3E−06x⁴ + 0.0006x³ − 0.0787x² + 5.1666x − 111.89 Represented in FIG. 19 GM L |Y| = −4E−12x⁶ + 5E−09x⁵ − 2E−06x⁴ + 0.0005x³ − 0.0699x² + 4.6867x − 103.1 GM R |Y| = −4E−12x⁶ + 5E−09x⁵ − 2E−06x⁴ + 0.0005x³ − 0.0682x² + 4.5589x − 99.743 Represented in FIG. 20 VI L |Y| = −4E−12x⁶ + 5E−09x⁵ − 2E−06x⁴ + 0.0006x³ − 0.0779x² + 5.1214x − 110.35 VI R |Y| = −4E−12x⁶ + 5E−09x⁵ − 2E−06x⁴ + 0.0006x³ − 0.0784x² + 5.1666x − 111.66 Represented in FIG. 21 GA L |Y| = −4E−12x⁶ + 5E−09x⁵ − 2E−06x⁴ + 0.0006x³ − 0.0758x² + 5.0374x − 110.73 GA R |Y| = −4E−12x⁶ + 5E−09x⁵ − 2E−06x⁴ + 0.0005x³ − 0.0717x² + 4.8132x − 105.99 Represented in FIG. 22 TA L |Y| = −4E−12x⁶ + 5E−09x⁵ − 2E−06x⁴ + 0.0006x³ − 0.0776x² + 5.1066x − 109.44 TA R |Y| = −5E−12x⁶ + 5E−09x⁵ − 3E−06x⁴ + 0.0006x³ − 0.0782x² + 5.1403x − 110.85 Represented in FIG. 23 [(x) represents the analyzed power value; (|Y|) represents the value of ϕThB]

-   -   -   1.6. In Table 5, the Equation of the Trend Line |Y|O₂HHb             calculated from the values of O₂HHb of each TM^(M) can be             observed.

TABLE 5 Equation of the Trend Line of |Y|O₂HHb of each TM^(M) TM Ecuación de la Línea de Tendencia de |Y|O₂HHb RF L |Y| = −3E−12x⁶ + 3E−09x⁵ − 2E−06x⁴ + 0.0004x³ − 0.0531x² + 3.614x − 88.785 RF R |Y| = −3E−12x⁶ + 4E−09x⁵ − 2E−06x⁴ + 0.0005x³ − 0.0609x² + 4.0896x − 99.856 Represented in FIG. 24 VL L |Y| = −3E−12x⁶ + 4E−09x⁵ − 2E−06x⁴ + 0.0004x³ − 0.0581x² + 3.8815x − 94.091 VL R |Y| = −4E−12x⁶ + 4E−09x⁵ − 2E−06x⁴ + 0.0005x³ − 0.0643x² + 4.3291x − 106.51 Represented in FIG. 25 ST L |Y| = −3E−12x⁶ + 4E−09x⁵ − 2E−06x⁴ + 0.0004x³ − 0.057x² + 3.9203x − 98.558 ST R |Y| = −4E−12x⁶ + 5E−09x⁵ − 2E−06x⁴ + 0.0006x³ − 0.0727x² + 4.7863x − 114.86 Represented in FIG. 26 GM L |Y| = −2E−12x⁶ + 3E−09x⁵ − 1E−06x⁴ + 0.0003x³ − 0.0403x² + 2.7221x − 63.193 GM R |Y| = −2E−12x⁶ + 2E−09x⁵ − 8E−07x⁴ + 0.0002x³ − 0.0248x² + 1.6246x − 31.521 Represented in FIG. 27 VI L |Y| = −3E−12x⁶ + 3E−09x⁵ − 2E−06x⁴ + 0.0004x³ − 0.0532x² + 3.6317x − 91.927 VI R |Y| = −6E−12x⁶ + 7E−09x⁵ − 3E−06x⁴ + 0.0007x³ − 0.0882x² + 5.4779x − 126.9 Represented in FIG. 28 GA L |Y| = −5E−12x⁶ + 6E−09x⁵ − 3E−06x⁴ + 0.0007x³ − 0.0971x² + 6.5766x − 169.02 GA R |Y| = −4E−12x⁶ + 5E−09x⁵ − 2E−06x⁴ + 0.0005x³ − 0.0722x² + 4.8761x − 121.62 Represented in FIG. 29 TA L |Y| = −4E−12x⁶ + 5E−09x⁵ − 2E−06x⁴ + 0.0005x³ − 0.0671x² + 4.3533x − 105.03 TA R |Y| = −4E−12x⁶ + 4E−09x⁵ − 2E−06x⁴ + 0.0005x³ − 0.0597x² + 3.9817x − 98.479 Represented in FIG. 30 [(x) represents the analyzed power value; (|Y|) represents the value of O₂HHb]

-   -   -   1.7. In Table 6, the Equation of the Trend Line |Y|HHb             calculated from the values of HHb of each TM^(M) can be             observed.

TABLE 6 Equation of the Trend Line of |Y|HHb of each TM^(M) TM Ecuación de la Línea de Tendencia de |Y|HHb RF L |Y| = 3E−12x⁶ − 3E−09x⁵ + 1E−06x⁴ − 0.0004x³ + 0.047x² − 3.1681x + 88.604 RF R |Y| = 4E−12x⁶ − 4E−09x⁵ + 2E−06x⁴ − 0.0005x³ + 0.0606x² − 3.9358x + 105.27 Represented in FIG. 31 VL L |Y| = 3E−12x⁶ − 4E−09x⁵ + 2E−06x⁴ − 0.0004x³ + 0.0531x² − 3.4848x + 94.389 VL R |Y| = 4E−12x⁶ − 4E−09x⁵ + 2E−06x⁴ − 0.0005x³ + 0.0598x² − 3.9644x + 107.4 Represented in FIG. 32 ST L |Y| = 3E−12x⁶ − 4E−09x⁵ + 2E−06x⁴ − 0.0004x³ + 0.0554x² − 3.6991x + 102.2 ST R |Y| = 5E−12x⁶ − 5E−09x⁵ + 2E−06x⁴ − 0.0006x³ + 0.071x² − 4.5624x + 118.74 Represented in FIG. 33 GM L |Y| = 2E−12x⁶ − 3E−09x⁵ + 1E−06x⁴ − 0.0003x³ + 0.036x² − 2.3767x + 64.476 GM R |Y| = 2E−12x⁶ − 2E−09x⁵ + 1E−06x⁴ − 0.0002x³ + 0.0262x² − 1.5959x + 39.38 Represented in FIG. 34 VI L |Y| = 3E−12x⁶ − 3E−09x⁵ + 1E−06x⁴ − 0.0003x³ + 0.0444x² − 3.0416x + 88.905 VI R |Y| = 3E−12x⁶ − 3E−09x⁵ + 1E−06x⁴ − 0.0003x³ + 0.0409x² − 2.562x + 68.472 Represented in FIG. 35 GA L |Y| = 4E−12x⁶ − 5E−09x⁵ + 2E−06x⁴ − 0.0006x³ + 0.0829x² − 5.7024x + 159.68 GA R |Y| = 4E−12x⁶ − 5E−09x5 + 2E−06x⁴ − 0.0005x³ + 0.067x² − 4.4753x + 121.62 Represented in FIG. 36 TA L |Y| = 4E−12x⁶ − 5E−09x⁵ + 2E−06x⁴ − 0.0005x³ + 0.0606x² − 3.8733x + 104.39 TA R |Y| = 5E−12x⁶ − 6E−09x⁵ + 3E−06x⁴ − 0.0007x³ + 0.0885x² − 5.8788x + 160.53 Represented in FIG. 37 [(x) represents the analyzed power value; (|Y|) represents the value of HHb]

-   -   -   1.8. In Table 7, the Equation of the Trend Line |Y|ϕO₂HHb             calculated from the values of ϕO₂HHb of each TM^(M) can be             observed.

TABLE 7 Equation of the Trend Line of |Y|ϕO₂HHb of each TM^(M) TM Ecuación de la Línea de Tendencia de |Y|ϕO₂HHb RF L |Y| = −7E−12x⁶ + 8E−09x⁵ − 4E−06x⁴ + 0.0009x³ − 0.1144x² + 7.5826x − 184.2 RF R |Y| = −7E−12x⁶ + 8E−09x⁵ − 4E−06x⁴ + 0.0009x³ − 0.1242x² + 8.2442x − 201.37 Represented in FIG. 38 VL L |Y| = −6E−12x⁶ + 7E−09x⁵ − 3E−06x⁴ + 0.0008x³ − 0.1051x² + 7.1225x − 175.33 VL R |Y| = −5E−12x⁶ + 7E−09x⁵ − 3E−06x⁴ + 0.0008x³ − 0.1047x² + 7.14x − 176.47 Represented in FIG. 39 ST L |Y| = −6E−12x⁶ + 7E−09x⁵ − 3E−06x⁴ + 0.0008x³ − 0.1026x² + 6.98x − 173.68 ST R |Y| = −6E−12x⁶ + 7E−09x⁵ − 3E−06x⁴ + 0.0008x³ − 0.1069x² + 6.972x − 162.39 Represented in FIG. 40 GM L |Y| = −6E−12x⁶ + 7E−09x⁵ − 3E−06x⁴ + 0.0008x³ − 0.1023x² + 6.8896x − 166.47 GM R |Y| = −9E−12x⁶ + 1E−08x⁵ − 5E−06x⁴ + 0.0011x³ − 0.1328x² + 8.5201x − 197.46 Represented in FIG. 41 VI L |Y| = −8E−12x⁶ + 9E−09x⁵ − 4E−06x⁴ + 0.0011x³ − 0.1435x² + 9.7141x − 249.13 VI R |Y| = −1E−11x⁶ + 1E−08x⁵ − 5E−06x⁴ + 0.0012x³ − 0.1488x² + 9.5092x − 226.58 Represented in FIG. 42 GAL |Y| = −7E−12x⁶ + 8E−09x⁵ − 4E−06x⁴ + 0.0011x³ − 0.1459x² + 10.178x − 266.64 GA R |Y| = −6E−12x⁶ + 8E−09x⁵ − 4E−06x⁴ + 0.0009x³ − 0.1248x² + 8.551x − 215.44 Represented in FIG. 43 TA L |Y| = −9E−12x⁶ + 1E−08x⁵ − 5E−06x⁴ + 0.0011x³ − 0.1373x² + 8.8469x − 213.73 TA R |Y| = −8E−12x⁶ + 9E−09x⁵ − 4E−06x⁴ + 0.001x³ − 0.1229x² + 8.1145x − 200.43 Represented in FIG. 44 [(x) represents the analyzed power value; (|Y|) represents the value of ϕO₂HHb]

-   -   -   1.9. In Table 8, the Equation of the Trend Line |Y|ϕHHb             calculated from the values of ϕHHb of each TM^(M) can be             observed.

TABLE 8 Equation of the Trend Line of |Y|ϕHHb of each TM^(M) TM Ecuación de la Línea de Tendencia de |Y|ϕHHb RF L |Y| = 5E−12x⁶ − 6E−09x⁵ + 3E−06x⁴ − 0.0008x³ + 0.1026x² − 6.9946x + 195.71 RF R |Y| = 1E−11x⁶ − 1E−08x⁵ + 5E−06x⁴ − 0.0013x³ + 0.1693x² − 11.132x + 297.01 Represented in FIG. 45 VL L |Y| = 1E−11x⁶ − 1E−08x⁵ + 6E−06x⁴ − 0.0015x³ + 0.1952x² − 12.865x + 342.15 VL R |Y| = 1E−11x⁶ − 1E−08x⁵ + 7E−06x⁴ − 0.0016x³ + 0.201x² − 13.201x + 349.47 Represented in FIG. 46 ST L |Y| = 1E−11x⁶ − 1E−08x⁵ + 6E−06x⁴ − 0.0015x³ + 0.1898x² − 12.574x + 337.53 ST R |Y| = 1E−11x⁶ − 1E−08x⁵ + 7E−06x⁴ − 0.0016x³ + 0.2103x² − 13.737x + 359.59 Represented in FIG. 47 GM L |Y| = 9E−12x⁶ − 1E−08x⁵ + 5E−06x⁴ − 0.0011x³ + 0.1484x² − 9.8392x + 262.16 GM R |Y| = 1E−11x⁶ − 1E−08x⁵ + 5E−06x⁴ − 0.0013x³ + 0.1661x² − 10.856x + 282.1 Represented in FIG. 48 VI L |Y| = 1E−11x⁶ − 1E−08x⁵ + 6E−06x⁴ − 0.0014x³ + 0.1864x² − 12.48x + 342.46 VI R |Y| = 2E−11x⁶ − 2E−08x⁵ + 8E−06x⁴ − 0.0019x³ + 0.2317x² − 14.531x + 369.98 Represented in FIG. 49 GAL |Y| = 9E−12x⁶ − 1E−08x⁵ + 5E−06x⁴ − 0.0012x³ + 0.1601x² − 10.892x + 301.26 GA R |Y| = 9E−12x⁶ − 1E−08x⁵ + 5E−06x⁴ − 0.0012x³ + 0.1601x² − 10.892x + 301.26 Represented in FIG. 50 TA L |Y| = 1E−11x⁶ − 2E−08x⁵ + 8E−06x⁴ − 0.0018x³ + 0.2256x² − 14.502x + 380.63 TA R |Y| = 1E−11x⁶ − 1E−08x⁵ + 7E−06x⁴ − 0.0016x³ + 0.2007x² − 13.228x + 355.97 Represented in FIG. 51 [(x) represents the analyzed power value; (|Y|) represents the value of ϕHHb]

-   -   -   1.10. In Table 9, Table 10 and Table 11, the calculated             values of |Y|SmO₂ ^(%) of each TM^(M), at each intensity can             be observed.

TABLE 9 Trend Line Values |Y|SmO₂ ^(%) between U_(Amin) and U_(Ae). Lim Lim RF RF VL VL ST ST GM GM VI VI GA GA TA TA Sup Inf Watts L R L R L R L R L R L R L R |ZonaOp| |ZonaOp| 136 72 53 76 72 76 77 90 91 53 45 88 89 46 55 82 66 138 71 52 76 72 76 77 90 91 53 44 88 89 46 55 82 65 140 71 52 76 72 76 77 90 91 53 44 88 89 46 55 82 65 142 71 51 76 71 76 77 90 91 52 44 88 89 46 55 82 65 144 71 51 75 71 75 76 90 91 52 43 88 89 46 55 82 65 146 71 51 75 71 75 76 90 91 52 43 88 89 46 54 82 64 148 71 50 75 71 75 76 90 91 51 43 88 89 46 54 82 64 150 71 50 75 70 75 76 90 91 51 42 88 89 46 54 82 64 152 71 50 75 70 75 76 90 91 51 42 88 89 46 54 82 64 154 71 50 75 70 75 76 91 91 50 42 88 89 46 54 82 64 156 71 49 75 70 75 76 91 91 50 41 88 89 46 54 82 64 158 71 49 75 70 74 76 91 91 50 41 88 88 46 54 81 64 160 71 49 74 69 74 76 91 91 49 41 88 88 46 53 81 63 162 71 49 74 69 74 75 91 91 49 40 88 88 46 53 81 63 164 71 48 74 69 74 75 91 91 49 40 88 88 46 53 81 63 166 71 48 74 69 74 75 91 91 48 40 87 88 46 53 81 63 168 71 48 74 69 73 75 91 92 48 39 87 88 46 53 81 63 170 71 48 74 68 73 75 91 92 48 39 87 88 46 53 81 63 172 70 48 74 68 73 75 91 92 48 39 87 88 46 53 81 62 174 70 48 73 68 72 75 91 92 47 38 87 87 46 53 81 62 176 70 47 73 68 72 74 91 92 47 38 87 87 46 53 80 62 178 70 47 73 68 72 74 91 92 47 37 86 87 46 53 80 62 180 70 47 73 67 72 74 91 92 46 37 86 87 46 53 80 62 182 70 47 73 67 71 74 91 92 46 36 86 87 46 53 80 61 184 70 47 72 67 71 73 91 92 46 36 86 87 46 53 80 61 186 70 47 72 67 71 73 91 92 45 36 86 87 45 53 80 61 188 69 47 72 66 70 73 92 92 45 35 86 87 45 52 79 60 190 69 46 71 66 70 72 92 92 45 35 86 87 45 52 79 60 192 69 46 71 66 69 72 92 92 44 34 86 87 45 52 79 60 194 69 46 71 65 69 72 92 92 44 34 85 87 45 52 78 59 196 69 46 70 65 68 71 92 93 43 33 85 87 44 52 78 59 198 68 46 70 65 68 71 92 93 43 32 85 87 44 52 78 58 200 68 46 70 64 67 70 92 93 43 32 85 87 44 52 78 58 Min 68 46 70 64 67 70 90 91 43 32 85 87 44 52 78 58 Max 72 53 76 72 76 77 92 93 53 45 88 89 46 55 82 66 σ 0.9 2.0 1.8 2.2 2.5 1.9 0.5 0.6 3.1 3.8 1.1 0.8 0.5 0.9 1.4 2.1 Y 70 48 73 68 73 75 91 92 48 39 87 88 45 53 81 62 {tilde over (Y)} 71 48 74 69 73 75 91 92 48 39 87 88 46 53 81 63 [(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]

TABLE 10 Trend Line Values |Y|SmO₂ ^(%) between U_(Ae) and U_(ANA). Lim Lim RF RF VL VL ST ST GM GM VI VI GA GA TA TA Sup Inf Watts L R L R L R L R L R L R L R |ZonaOp| |ZonaOp| 202 68 45 69 64 67 70 92 93 42 31 85 87 44 52 77 57 204 67 45 69 64 66 69 92 93 42 31 85 88 43 51 77 57 206 67 45 68 63 66 69 92 93 41 30 85 88 43 51 76 56 208 66 45 68 63 65 68 92 93 41 29 85 88 43 51 76 56 210 66 45 67 62 65 68 92 93 40 29 85 88 42 51 76 55 212 65 44 67 62 64 67 92 93 40 28 85 88 42 51 75 55 214 65 44 66 61 64 67 91 92 40 28 85 88 42 50 75 54 216 65 44 66 61 63 66 91 92 39 27 85 88 41 50 74 53 218 64 43 65 60 62 65 91 92 39 26 85 89 41 50 74 53 220 64 43 65 60 62 65 91 92 38 26 85 89 40 50 73 52 222 63 43 64 59 61 64 91 92 38 25 85 89 40 49 73 51 224 62 42 64 59 61 63 91 92 37 25 85 89 39 49 72 51 226 62 42 63 58 60 63 91 92 37 24 85 89 39 49 72 50 228 61 42 62 58 59 62 91 92 36 24 85 89 39 48 71 49 230 61 41 62 57 59 61 90 92 36 23 85 89 38 48 71 49 232 60 41 61 57 58 60 90 92 35 22 85 89 38 48 70 48 234 60 41 61 56 57 60 90 91 35 22 85 89 37 47 70 47 236 59 40 60 55 56 59 90 91 34 21 85 89 37 47 69 46 238 59 40 59 55 56 58 90 91 34 21 84 89 37 47 68 46 240 58 39 59 54 55 57 89 91 33 20 84 89 36 46 68 45 242 57 39 58 54 54 56 89 91 33 20 84 89 36 46 67 44 244 57 38 58 53 54 56 89 90 33 20 84 89 35 46 66 43 246 56 38 57 53 53 55 89 90 32 19 83 89 35 45 65 42 248 56 37 56 52 52 54 88 90 32 19 83 89 35 45 65 42 250 55 37 56 51 52 53 88 90 31 19 82 89 35 45 64 41 Min 55 37 56 51 52 53 88 90 31 19 82 87 35 45 64 41 Max 68 45 69 64 67 70 92 93 42 31 85 89 44 52 77 57 σ 3.9 2.6 4.2 3.9 4.8 5.2 1.1 0.9 3.4 4.0 0.8 0.6 2.9 2.2 4.0 5.1 Y 62 42 63 58 60 62 90 92 37 24 85 89 39 49 71 50 {tilde over (Y)} 62 42 63 58 60 63 91 92 37 24 85 89 39 49 72 50 [(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]

TABLE 11 Trend Line Values |Y|SmO₂ ^(%) ≥ U_(Ana). Lim Lim Sup Inf RF RF VL VL ST ST GM GM VI VI GA GA TA TA |Zona |Zona Watts L R L R L R L R L R L R L R Op| Op| 252 55 36 55 51 51 53 88 90 31 18 82 88 34 44 63 40 254 54 36 55 50 50 52 88 89 31 18 81 88 34 44 63 39 256 54 35 54 50 50 51 87 89 30 18 81 88 34 44 62 39 258 53 35 54 49 49 50 87 89 30 18 80 88 34 43 61 38 260 53 34 53 48 48 50 87 89 30 18 80 87 33 43 61 37 262 52 33 53 48 48 49 86 88 29 17 79 87 33 43 60 37 264 52 33 52 47 47 48 86 88 29 17 78 86 33 42 59 36 266 51 32 52 47 46 47 86 88 29 17 77 86 33 42 59 36 268 51 32 51 46 46 47 85 88 29 17 76 85 33 42 58 35 270 50 31 51 46 45 46 85 87 29 17 75 85 33 42 57 35 272 50 30 50 45 44 45 85 87 28 17 74 84 33 41 57 34 274 49 30 50 45 44 45 84 87 28 17 73 84 33 41 56 34 276 49 29 50 44 43 44 84 87 28 17 72 83 32 41 56 33 278 48 28 49 44 42 44 83 87 28 17 71 83 32 40 55 33 280 48 28 49 43 41 20 83 86 28 17 69 82 32 40 54 32 282 47 27 49 43 41 43 83 86 28 17 68 82 32 40 54 32 284 47 26 48 42 40 42 82 86 28 17 67 81 32 40 53 31 286 46 25 48 42 39 42 82 86 28 17 65 81 31 40 53 31 288 45 25 48 42 38 41 82 86 28 17 64 80 31 39 52 30 290 45 24 47 41 38 41 81 85 28 17 62 80 30 39 52 30 292 44 23 47 41 37 40 81 85 28 17 61 80 30 39 51 29 294 43 22 47 40 36 40 80 85 28 17 60 79 29 39 51 29 296 42 21 46 40 35 39 80 85 28 17 58 79 28 38 50 28 298 41 21 46 39 34 39 80 85 28 16 57 79 27 38 50 28 300 40 20 46 38 33 38 79 84 28 16 55 79 26 38 49 27 Min 40 20 46 38 33 38 79 84 28 16 55 79 26 38 49 27 Max 55 36 55 51 51 53 88 90 31 18 82 88 34 44 63 40 σ 4.3 5.1 2.8 3.7 5.3 4.4 2.7 1.6 1.0 0.5 8.5 3.3 2.1 2.0 4.3 3.8 Y 48 29 50 44 43 45 84 87 29 17 71 83 32 41 56 33 {tilde over (Y)} 49 29 50 44 43 44 84 87 28 17 72 83 32 41 56 33 [(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]

-   -   -   1.11. In Table 12, Table 13 and Table 14, the calculated             values of |Y|ThB of each TM^(M), at each intensity can be             observed.

TABLE 12 Trend Line Values |Y|ThB between U_(Amin) and U_(Ae). Lim Lim Sup Inf RF RF VL VL ST ST GM GM VI VI GA GA TA TA |Zona |Zona Watts L R L R L R L Ref L R L R L R Op| Op| 136 12.8 12.6 12.1 12.1 12.2 12.1 12.1 12.1 12.6 12.6 11.9 12.2 12.9 12.5 12.3 12.0 138 12.8 12.6 12.1 12.1 12.2 12.1 12.1 12.2 12.6 12.6 11.9 12.2 12.9 12.5 12.3 12.0 140 12.8 12.6 12.1 12.1 12.2 12.1 12.1 12.2 12.6 12.6 11.9 12.2 12.9 12.5 12.3 12.0 142 12.8 12.6 12.1 12.1 12.2 12.1 12.1 12.2 12.6 12.6 11.9 12.2 12.9 12.5 12.3 12.0 144 12.8 12.6 12.1 12.1 12.2 12.1 12.1 12.2 12.6 12.6 11.9 12.2 12.9 12.5 12.3 12.0 146 12.8 12.6 12.1 12.1 12.2 12.1 12.1 12.2 12.6 12.6 11.9 12.2 12.9 12.5 12.3 12.0 148 12.8 12.6 12.1 12.1 12.2 12.1 12.2 12.2 12.6 12.6 11.9 12.2 12.9 12.5 12.3 12.0 150 12.8 12.6 12.1 12.1 12.2 12.1 12.2 12.2 12.6 12.6 11.9 12.2 12.9 12.5 12.3 12.0 152 12.8 12.6 12.1 12.1 12.1 12.1 12.2 12.2 12.6 12.6 11.9 12.2 12.9 12.4 12.4 12.0 154 12.8 12.6 12.1 12.1 12.1 12.1 12.2 12.2 12.6 12.6 11.9 12.2 12.9 12.4 12.4 12.0 156 12.8 12.7 12.1 12.1 12.1 12.1 12.2 12.2 12.6 12.6 11.9 12.2 12.9 12.4 12.4 12.0 158 12.8 12.7 12.1 12.1 12.1 12.1 12.2 12.2 12.6 12.6 11.9 12.2 12.9 12.4 12.4 12.0 160 12.8 12.7 12.1 12.1 12.1 12.1 12.2 12.2 12.6 12.6 11.9 12.2 12.9 12.4 12.4 12.1 162 12.8 12.7 12.1 12.1 12.1 12.0 12.2 12.2 12.6 12.6 11.9 12.2 12.9 12.4 12.4 12.1 164 12.8 12.7 12.1 12.1 12.1 12.0 12.2 12.2 12.6 12.6 11.9 12.2 12.9 12.4 12.4 12.1 166 12.8 12.7 12.1 12.1 12.1 12.0 12.2 12.2 12.6 12.6 11.9 12.2 12.9 12.4 12.4 12.1 168 12.8 12.7 12.1 12.1 12.1 12.0 12.2 12.2 12.6 12.6 11.9 12.2 12.9 12.4 12.4 12.1 170 12.8 12.7 12.1 12.1 12.1 12.0 12.2 12.2 12.6 12.6 11.9 12.2 12.9 12.4 12.4 12.1 172 12.8 12.7 12.1 12.1 12.1 12.0 12.2 12.2 12.6 12.6 11.9 12.3 12.9 12.4 12.4 12.1 174 12.8 12.7 12.0 12.1 12.1 12.0 12.2 12.2 12.6 12.6 11.9 12.3 12.9 12.4 12.4 12.1 176 12.8 12.7 12.0 12.1 12.1 12.0 12.2 12.2 12.6 12.6 11.9 12.3 12.9 12.4 12.4 12.1 178 12.8 12.7 12.0 12.1 12.1 12.0 12.2 12.2 12.6 12.6 11.9 12.3 12.9 12.4 12.4 12.1 180 12.8 12.7 12.0 12.1 12.1 12.0 12.2 12.2 12.6 12.6 11.9 12.3 12.9 12.4 12.4 12.1 182 12.8 12.7 12.0 12.1 12.1 12.0 12.2 12.2 12.6 12.6 11.9 12.3 12.9 12.4 12.4 12.1 184 12.8 12.7 12.0 12.1 12.1 12.0 12.2 12.2 12.6 12.6 11.9 12.3 12.9 12.4 12.4 12.1 186 12.8 12.7 12.0 12.1 12.1 12.0 12.2 12.2 12.6 12.6 11.9 12.3 12.9 12.4 12.4 12.1 188 12.8 12.7 12.0 12.1 12.1 12.0 12.2 12.2 12.6 12.6 11.9 12.3 12.9 12.4 12.4 12.1 190 12.8 12.7 12.0 12.1 12.1 12.0 12.2 12.2 12.6 12.6 11.9 12.3 12.9 12.4 12.4 12.1 192 12.8 12.7 12.0 12.1 12.1 12.0 12.2 12.2 12.7 12.6 11.9 12.3 12.9 12.4 12.4 12.1 194 12.8 12.7 12.0 12.1 12.1 12.0 12.2 12.2 12.7 12.6 11.9 12.3 12.9 12.4 12.4 12.1 196 12.8 12.7 12.0 12.1 12.1 12.0 12.2 12.2 12.7 12.6 11.9 12.3 12.9 12.4 12.4 12.0 198 12.8 12.7 12.0 12.1 12.1 12.0 12.1 12.1 12.7 12.6 11.9 12.3 12.9 12.4 12.4 12.0 200 12.8 12.7 12.0 12.1 12.1 12.0 12.1 12.1 12.7 12.6 11.9 12.3 12.9 12.4 12.4 12.0 Min 12.8 12.6 12.0 12.1 12.1 12.0 12.1 12.1 12.6 12.6 11.9 12.2 12.9 12.4 12.3 12.0 Max 12.8 12.7 12.1 12.1 12.2 12.1 12.2 12.2 12.7 12.6 11.9 12.3 12.9 12.5 12.4 12.1 σ 0.0 0.0 0.0 0.0 0.0 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Y 12.8 12.7 12.1 12.1 12.1 12.0 12.2 12.2 12.6 12.6 11.9 12.2 12.9 12.4 12.4 12.0 {tilde over (Y)} 12.8 12.7 12.1 12.1 12.1 12.0 12.2 12.2 12.6 12.6 11.9 12.2 12.9 12.4 12.4 12.1 [(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]

TABLE 13 Trend Line Values |Y|ThB between U_(Ae) and U_(ANA). Lim Lim Sup Inf RF RF VL VL ST ST GM GM VI VI GA GA TA TA |Zona |Zona Watts L R L R L R L R L R L R L R Op Op| 202 12.8 12.7 12.0 12.1 12.1 12.0 12.1 12.1 12.7 12.6 11.9 12.3 12.9 12.4 12.4 12.0 204 12.8 12.7 12.0 12.1 12.1 12.0 12.1 12.1 12.7 12.6 11.9 12.3 12.9 12.4 12.4 12.0 206 12.8 12.7 12.0 12.1 12.1 12.0 12.1 12.1 12.7 12.6 11.9 12.3 12.9 12.4 12.4 12.0 208 12.8 12.7 12.0 12.1 12.1 12.0 12.1 12.1 12.7 12.6 11.9 12.3 12.9 12.4 12.4 12.0 210 12.8 12.7 12.0 12.1 12.1 12.0 12.1 12.1 12.7 12.6 11.9 12.3 12.9 12.4 12.4 12.0 212 12.8 12.7 12.0 12.1 12.1 12.0 12.1 12.1 12.7 12.6 11.9 12.3 12.9 12.4 12.3 12.0 214 12.8 12.7 12.0 12.1 12.1 12.0 12.1 12.1 12.7 12.6 11.9 12.2 12.9 12.4 12.3 12.0 216 12.8 12.7 12.0 12.1 12.1 12.0 12.1 12.0 12.7 12.6 11.9 12.2 12.9 12.4 12.3 12.0 218 12.8 12.7 12.0 12.1 12.1 12.0 12.0 12.0 12.7 12.6 11.9 12.2 12.9 12.4 12.3 12.0 220 12.8 12.7 12.0 12.1 12.1 12.0 12.0 12.0 12.7 12.6 11.9 12.2 12.9 12.4 12.3 12.0 222 12.8 12.7 12.0 12.1 12.1 12.0 12.0 12.0 12.7 12.6 11.8 12.2 12.9 12.4 12.3 12.0 224 12.8 12.7 12.0 12.1 12.1 12.0 12.0 12.0 12.7 12.6 11.8 12.2 12.9 12.5 12.3 11.9 226 12.8 12.7 12.0 12.0 12.1 12.0 12.0 12.0 12.7 12.6 11.8 12.2 12.9 12.5 12.3 11.9 228 12.8 12.7 12.0 12.0 12.1 12.0 12.0 12.0 12.7 12.6 11.8 12.2 12.9 12.5 12.3 11.9 230 12.8 12.7 12.0 12.0 12.1 12.0 12.0 11.9 12.7 12.7 11.8 12.2 12.9 12.5 12.3 11.9 232 12.8 12.7 12.0 12.0 12.1 12.0 12.0 11.9 12.7 12.7 11.8 12.2 12.9 12.5 12.3 11.9 234 12.8 12.7 12.0 12.0 12.1 12.0 11.9 11.9 12.7 12.7 11.8 12.2 12.9 12.5 12.3 11.9 236 12.8 12.8 12.0 12.0 12.1 12.0 11.9 11.9 12.7 12.7 11.8 12.2 12.9 12.5 12.3 11.9 238 12.8 12.8 12.0 12.0 12.1 12.0 11.9 11.9 12.7 12.7 11.8 12.1 12.9 12.5 12.3 11.9 240 12.8 12.8 12.0 12.0 12.1 12.0 11.9 11.9 12.7 12.7 11.8 12.1 13.0 12.5 12.3 11.9 242 12.8 12.8 12.0 12.0 12.1 12.0 11.9 11.9 12.7 12.7 11.7 12.1 13.0 12.5 12.3 11.9 244 12.8 12.8 12.0 12.0 12.1 12.0 11.9 11.9 12.7 12.7 11.7 12.1 13.0 12.5 12.3 11.9 246 12.8 12.8 12.0 12.0 12.1 12.0 11.9 11.9 12.7 12.7 11.7 12.1 13.0 12.5 12.3 11.9 248 12.8 12.8 12.0 12.0 12.1 12.0 11.9 11.9 12.7 12.7 11.7 12.1 13.0 12.5 12.3 11.9 250 12.8 12.8 12.0 12.0 12.1 12.0 11.9 11.8 12.7 12.7 11.7 12.1 13.0 12.5 12.3 11.9 Min 13 13 12 12 12 12 12 12 13 13 12 12 13 12 12 12 Max 13 13 12 12 12 12 12 12 13 13 12 12 13 12 12 12 σ 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.1 0.0 0.0 0.1 0.1 0.0 0.0 0.0 0.1 Y 13 13 12 12 12 12 12 12 13 13 12 12 13 12 12 12 {tilde over (Y)} 13 13 12 12 12 12 12 12 13 13 12 12 13 12 12 12 [(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]

TABLE 14 Trend Line Values |Y|ThB ≥ U_(Ana). Lim Lim Sup Inf RF RF VL VL ST ST GM GM VI VI GA GA TA TA |Zona |Zona Watts L R L R L R L R L R L R L R Op| Op| 252 12.8 12.8 12.0 12.0 12.1 12.0 11.8 11.8 12.7 12.7 11.7 12.1 13.0 12.5 12.3 11.9 254 12.8 12.8 12.0 12.0 12.1 12.0 11.8 11.8 12.7 12.7 11.7 12.1 13.0 12.5 12.3 11.8 256 12.8 12.8 12.0 12.0 12.1 12.0 11.8 11.8 12.7 12.7 11.7 12.0 13.0 12.5 12.3 11.8 258 12.8 12.8 12.0 12.0 12.1 12.0 11.8 11.8 12.7 12.7 11.7 12.0 13.0 12.5 12.3 11.8 260 12.8 12.8 12.0 12.0 12.1 12.0 11.8 11.8 12.7 12.7 11.7 12.0 12.9 12.5 12.3 11.8 262 12.8 12.8 12.0 12.1 12.1 12.0 11.8 11.8 12.7 12.7 11.7 12.0 12.9 12.5 12.3 11.8 264 12.7 12.8 12.0 12.1 12.1 12.0 11.8 11.8 12.7 12.7 11.7 12.0 12.9 12.5 12.3 11.8 266 12.7 12.8 12.0 12.1 12.1 12.1 11.8 11.8 12.7 12.7 11.7 12.0 12.9 12.5 12.3 11.9 268 12.7 12.8 12.0 12.1 12.1 12.1 11.8 11.8 12.7 12.7 11.7 12.0 12.9 12.5 12.3 11.9 270 12.7 12.8 12.0 12.1 12.1 12.1 11.8 11.8 12.7 12.7 11.7 12.0 12.9 12.5 12.3 11.9 272 12.7 12.8 12.0 12.1 12.1 12.1 11.8 11.8 12.7 12.7 11.7 11.9 12.9 12.5 12.3 11.9 274 12.7 12.8 12.0 12.1 12.1 12.1 11.8 11.8 12.7 12.7 11.6 11.9 12.9 12.5 12.3 11.9 276 12.7 12.8 12.0 12.1 12.1 12.1 11.8 11.8 12.7 12.7 11.6 11.9 12.9 12.5 12.3 11.9 278 12.7 12.8 12.0 12.1 12.1 12.1 11.8 11.8 12.7 12.7 11.6 11.9 12.9 12.5 12.3 11.9 280 12.7 12.8 12.0 12.1 12.1 12.1 11.8 11.8 12.7 12.7 11.6 11.9 12.9 12.5 12.3 11.9 282 12.8 12.9 12.0 12.1 12.1 12.1 11.8 11.8 12.7 12.7 11.6 11.9 12.9 12.5 12.3 11.9 284 12.8 12.9 12.0 12.1 12.2 12.1 11.8 11.8 12.7 12.7 11.6 11.9 12.9 12.5 12.4 11.9 286 12.8 12.9 12.0 12.1 12.2 12.1 11.8 11.8 12.7 12.7 11.6 11.8 12.9 12.5 12.4 11.9 288 12.8 12.9 12.0 12.1 12.2 12.1 11.8 11.8 12.7 12.7 11.6 11.8 12.9 12.5 12.4 11.9 290 12.8 12.9 12.0 12.1 12.2 12.1 11.7 11.8 12.7 12.7 11.6 11.8 12.9 12.5 12.4 11.9 292 12.8 12.9 12.0 12.1 12.2 12.1 11.7 11.8 12.7 12.7 11.6 11.8 13.0 12.5 12.4 11.9 294 12.8 12.9 12.0 12.1 12.2 12.1 11.7 11.8 12.7 12.7 11.6 11.8 13.0 12.5 12.4 11.9 296 12.8 12.9 12.0 12.1 12.2 12.1 11.7 11.8 12.7 12.7 11.6 11.7 13.0 12.5 12.4 11.9 298 12.8 12.9 12.0 12.1 12.2 12.1 11.7 11.8 12.7 12.7 11.6 11.7 13.0 12.5 12.4 11.9 300 12.8 12.9 12.0 12.2 12.2 12.1 11.7 11.7 12.8 12.7 11.5 11.7 13.0 12.5 12.4 11.9 Min 13 13 12 12 12 12 12 12 13 13 12 12 13 12 12 12 Max 13 13 12 12 12 12 12 12 13 13 12 12 13 13 12 12 σ 0.0 0.1 0.0 0.0 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.0 0.0 0.0 0.0 Y 13 13 12 12 12 12 12 12 13 13 12 12 13 12 12 12 {tilde over (Y)} 13 13 12 12 12 12 12 12 13 13 12 12 13 12 12 12 [(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]

-   -   -   1.12. In Table 15, Table 16 and Table 17, the calculated             values of |Y|ϕThB of each TM^(M), at each intensity can be             observed.

TABLE 15 Trend Line Values |Y|ϕThB between U_(Amin) and U_(Ae). Lim Lim Sup Inf RF RF VL VL ST ST GM GM VI VI GA GA TA TA |Zona |Zona Watts L R L R L R L Ref L R L R L R Op| Op| 136 26.6 26.2 25.2 25.1 25.3 25.1 25.1 25.3 26.0 26.0 24.7 25.3 26.8 25.8 25.6 25.0 138 26.8 26.4 25.3 25.3 25.4 25.2 25.2 25.4 26.2 26.2 24.8 25.5 26.9 25.9 25.8 25.1 140 26.9 26.5 25.4 25.4 25.6 25.3 25.3 25.6 26.4 26.3 24.9 25.6 27.1 26.1 25.9 25.3 142 27.1 26.7 25.6 25.6 25.7 25.5 25.5 25.7 26.5 26.5 25.1 25.8 27.3 26.2 26.1 25.4 144 27.3 26.9 25.7 25.7 25.9 25.6 25.6 25.9 26.7 26.6 25.3 25.9 27.4 26.4 26.3 25.6 146 27.4 27.0 25.9 25.9 26.0 25.8 25.8 26.1 26.9 26.8 25.4 26.1 27.6 26.6 26.4 25.8 148 27.6 27.2 26.0 26.0 26.2 26.0 26.0 26.3 27.1 27.0 25.6 26.3 27.8 26.8 26.6 25.9 150 27.8 27.4 26.2 26.2 26.4 26.1 26.1 26.4 27.3 27.2 25.8 26.5 28.0 26.9 26.8 26.1 152 28.0 27.6 26.4 26.4 26.5 26.3 26.3 26.6 27.5 27.4 26.0 26.7 28.2 27.1 27.0 26.3 154 28.2 27.8 26.6 26.6 26.7 26.5 26.5 26.8 27.7 27.6 26.1 26.9 28.4 27.3 27.2 26.5 156 28.4 28.0 26.8 26.8 26.9 26.7 26.7 27.0 27.9 27.8 26.3 27.1 28.6 27.5 27.4 26.7 158 28.6 28.2 26.9 26.9 27.1 26.9 26.9 27.2 28.1 28.0 26.5 27.3 28.8 27.7 27.6 26.9 160 28.8 28.5 27.1 27.1 27.3 27.1 27.1 27.4 28.3 28.2 26.7 27.5 29.0 28.0 27.8 27.1 162 29.0 28.7 27.3 27.3 27.5 27.3 27.3 27.6 28.5 28.4 26.9 27.7 29.3 28.2 28.0 27.3 164 29.3 28.9 27.5 27.5 27.7 27.5 27.5 27.8 28.8 28.7 27.2 27.9 29.5 28.4 28.2 27.5 166 29.5 29.1 27.7 27.7 27.9 27.7 27.7 28.0 29.0 28.9 27.4 28.1 29.7 28.6 28.4 27.7 168 29.7 29.4 28.0 28.0 28.1 27.9 27.9 28.2 29.2 29.1 27.6 28.3 29.9 28.8 28.6 27.9 170 29.9 29.6 28.2 28.2 28.3 28.1 28.1 28.4 29.5 29.3 27.8 28.6 30.2 29.1 28.9 28.1 172 30.1 29.8 28.4 28.4 28.5 28.3 28.3 28.6 29.7 29.6 28.0 28.8 30.4 29.3 29.1 28.3 174 30.4 30.0 28.6 28.6 28.7 28.5 28.5 28.8 29.9 29.8 28.2 29.0 30.6 29.5 29.3 28.5 176 30.6 30.3 28.8 28.8 28.9 28.7 28.7 29.0 30.2 30.0 28.4 29.2 30.9 29.7 29.5 28.7 178 30.8 30.5 29.0 29.0 29.1 28.9 28.9 29.2 30.4 30.3 28.7 29.4 31.1 30.0 29.7 28.9 180 31.0 30.7 29.2 29.2 29.3 29.2 29.2 29.4 30.6 30.5 28.9 29.7 31.3 30.2 30.0 29.1 182 31.3 31.0 29.4 29.4 29.5 29.4 29.4 29.6 30.9 30.7 29.1 29.9 31.6 30.4 30.2 29.3 184 31.5 31.2 29.6 29.6 29.7 29.6 29.6 29.8 31.1 31.0 29.3 30.1 31.8 30.6 30.4 29.6 186 31.7 31.4 29.8 29.9 29.9 29.8 29.8 30.0 31.3 31.2 29.5 30.3 32.0 30.8 30.6 29.8 188 31.9 31.6 30.0 30.1 30.1 30.0 30.0 30.2 31.6 31.4 29.7 30.5 32.2 31.1 30.8 30.0 190 32.1 31.9 30.2 30.3 30.3 30.2 30.2 30.4 31.8 31.6 29.9 30.8 32.5 31.3 31.0 30.2 192 32.3 32.1 30.4 30.5 30.5 30.4 30.4 30.6 32.0 31.9 30.1 31.0 32.7 31.5 31.2 30.4 194 32.6 32.3 30.6 30.7 30.7 30.6 30.6 30.8 32.2 32.1 30.3 31.2 32.9 31.7 31.4 30.5 196 32.8 32.5 30.8 30.9 30.9 30.8 30.8 31.0 32.5 32.3 30.5 31.4 33.1 31.9 31.6 30.7 198 33.0 32.7 31.0 31.1 31.1 31.0 31.0 31.2 32.7 32.5 30.7 31.6 33.3 32.1 31.8 30.9 200 33.2 33.0 31.2 31.3 31.3 31.2 31.2 31.3 32.9 32.7 30.9 31.8 33.5 32.3 32.0 31.1 Min 26.6 26.2 25.2 25.1 25.3 25.1 25.1 25.3 26.0 26.0 24.7 25.3 26.8 25.8 25.6 25.0 Max 33.2 33.0 31.2 31.3 31.3 31.2 31.2 31.3 32.9 32.7 30.9 31.8 33.5 32.3 32.0 31.1 σ 2.0 2.1 1.9 1.9 1.9 1.9 1.9 1.9 2.1 2.1 1.9 2.0 2.1 2.0 2.0 1.9 Y 29.8 29.4 28.0 28.0 28.2 28.0 28.0 28.2 29.3 29.2 27.6 28.4 30.0 28.9 28.7 27.9 {tilde over (Y)} 20 29.4 28.0 28.0 28.1 27.9 27.9 28.2 29.2 29.1 27.6 28.3 29.9 28.8 28.6 27.9 [(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]

TABLE 16 Trend Line Values |Y|ϕThB between U_(Ae) and U_(ANA). Lim Lim Sup Inf RF RF VL VL ST ST GM GM VI VI GA GA TA TA |Zona |Zona Watts L R L R L R L R L R L R L R Op| Op| 202 33.4 33.2 31.4 31.5 31.5 31.3 31.3 31.5 33.1 32.9 31.1 32.0 33.7 32.5 32.2 31.3 204 33.6 33.4 31.6 31.6 31.7 31.5 31.5 31.7 33.3 33.1 31.2 32.2 33.9 32.7 32.4 31.5 206 33.8 33.6 31.7 31.8 31.9 31.7 31.7 31.9 33.5 33.3 31.4 32.4 34.1 32.9 32.6 31.6 208 34.0 33.8 31.9 32.0 32.0 31.9 31.9 32.0 33.7 33.5 31.6 32.5 34.3 33.1 32.8 31.8 210 34.1 34.0 32.1 32.2 32.2 32.0 32.0 32.2 33.9 33.7 31.8 32.7 34.5 33.3 33.0 32.0 212 34.3 34.2 32.3 32.4 32.4 32.2 32.2 32.3 34.1 33.9 31.9 32.9 34.7 33.4 33.1 32.2 214 34.5 34.4 32.4 32.5 32.6 32.4 32.4 32.5 34.3 34.1 32.1 33.1 34.9 33.6 33.3 32.3 216 34.7 34.5 32.6 32.7 32.7 32.5 32.5 32.7 34.5 34.3 32.2 33.2 35.1 33.8 33.5 32.5 218 34.9 34.7 32.8 32.9 32.9 32.7 32.7 32.8 34.6 34.5 32.4 33.4 35.3 34.0 33.7 32.6 220 35.0 34.9 32.9 33.1 33.1 32.9 32.9 32.9 34.8 34.7 32.5 33.5 35.5 34.1 33.8 32.8 222 35.2 35.1 33.1 33.2 33.2 33.0 33.0 33.1 35.0 34.8 32.7 33.7 35.6 34.3 34.0 33.0 224 35.4 35.3 33.2 33.4 33.4 33.2 33.2 33.2 35.2 35.0 32.8 33.8 35.8 34.5 34.1 33.1 226 35.6 35.5 33.4 33.5 33.6 33.3 33.3 33.4 35.3 35.2 33.0 34.0 36.0 34.6 34.3 33.3 228 35.7 35.6 33.5 33.7 33.7 33.5 33.5 33.5 35.5 35.4 33.1 34.1 36.2 34.8 34.5 33.4 230 35.9 35.8 33.7 33.9 33.9 33.6 33.6 33.6 35.7 35.5 33.2 34.3 36.3 35.0 34.6 33.5 232 36.1 36.0 33.9 34.0 34.0 33.8 33.8 33.8 35.8 35.7 33.4 34.4 36.5 35.1 34.8 33.7 234 36.2 36.2 34.0 34.2 34.2 33.9 33.9 33.9 36.0 35.9 33.5 34.5 36.7 35.3 34.9 33.8 236 36.4 36.3 34.2 34.3 34.4 34.1 34.1 34.0 36.2 36.0 33.6 34.7 36.8 35.4 35.1 34.0 238 36.5 36.5 34.3 34.5 34.5 34.3 34.3 34.2 36.3 36.2 33.7 34.8 37.0 35.6 35.2 34.1 240 36.7 36.7 34.5 34.6 34.7 34.4 34.4 34.3 36.5 36.4 33.9 34.9 37.2 35.8 35.4 34.2 242 36.9 36.8 34.6 34.8 34.8 34.6 34.6 34.4 36.7 36.5 34.0 35.0 37.3 35.9 35.5 34.4 244 37.0 37.0 34.8 34.9 35.0 34.7 34.7 34.5 36.8 36.7 34.1 35.2 37.5 36.1 35.7 34.5 246 37.2 37.2 34.9 35.1 35.1 34.9 34.9 34.7 37.0 36.8 34.2 35.3 37.7 36.2 35.8 34.6 248 37.3 37.4 35.1 35.3 35.3 35.0 35.0 34.8 37.2 37.0 34.3 35.4 37.8 36.4 35.9 34.8 250 37.5 37.5 35.2 35.4 35.5 35.2 35.2 34.9 37.3 37.2 34.5 35.5 38.0 36.5 36.1 34.9 Min 33 33 31 31 32 31 31 32 33 33 31 32 34 33 32 31 Max 38 38 35 35 35 35 35 35 37 37 34 36 38 37 36 35 σ 1.3 1.3 1.2 1.2 1.2 1.2 1.2 1.0 1.3 1.3 1.0 1.1 1.3 1.2 1.2 1.1 Y 36 35 33 33 34 33 33 33 35 35 33 34 36 35 34 33 {tilde over (Y)} 36 35 33 34 34 33 33 33 35 35 33 34 36 35 34 33 [(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]

TABLE 17 Trend Line Values |Y|ϕThB ≥ U_(Ana). Lim Lim Sup Inf RF RF VL VL ST ST GM GM VI VI GA GA TA TA |Zona |Zona Watts L R L R L R L R L R L R L R Op| Op| 202 33.4 33.2 31.4 31.5 31.5 31.3 31.3 31.5 33.1 32.9 31.1 32.0 33.7 32.5 32.2 31.3 204 33.6 33.4 31.6 31.6 31.7 31.5 31.5 31.7 33.3 33.1 31.2 32.2 33.9 32.7 32.4 31.5 206 33.8 33.6 31.7 31.8 31.9 31.7 31.7 31.9 33.5 33.3 31.4 32.4 34.1 32.9 32.6 31.6 208 34.0 33.8 31.9 32.0 32.0 31.9 31.9 32.0 33.7 33.5 31.6 32.5 34.3 33.1 32.8 31.8 210 34.1 34.0 32.1 32.2 32.2 32.0 32.0 32.2 33.9 33.7 31.8 32.7 34.5 33.3 33.0 32.0 212 34.3 34.2 32.3 32.4 32.4 32.2 32.2 32.3 34.1 33.9 31.9 32.9 34.7 33.4 33.1 32.2 214 34.5 34.4 32.4 32.5 32.6 32.4 32.4 32.5 34.3 34.1 32.1 33.1 34.9 33.6 33.3 32.3 216 34.7 34.5 32.6 32.7 32.7 32.5 32.5 32.7 34.5 34.3 32.2 33.2 35.1 33.8 33.5 32.5 218 34.9 34.7 32.8 32.9 32.9 32.7 32.7 32.8 34.6 34.5 32.4 33.4 35.3 34.0 33.7 32.6 220 35.0 34.9 32.9 33.1 33.1 32.9 32.9 32.9 34.8 34.7 32.5 33.5 35.5 34.1 33.8 32.8 222 35.2 35.1 33.1 33.2 33.2 33.0 33.0 33.1 35.0 34.8 32.7 33.7 35.6 34.3 34.0 33.0 224 35.4 35.3 33.2 33.4 33.4 33.2 33.2 33.2 35.2 35.0 32.8 33.8 35.8 34.5 34.1 33.1 226 35.6 35.5 33.4 33.5 33.6 33.3 33.3 33.4 35.3 35.2 33.0 34.0 36.0 34.6 34.3 33.3 228 35.7 35.6 33.5 33.7 33.7 33.5 33.5 33.5 35.5 35.4 33.1 34.1 36.2 34.8 34.5 33.4 230 35.9 35.8 33.7 33.9 33.9 33.6 33.6 33.6 35.7 35.5 33.2 34.3 36.3 35.0 34.6 33.5 232 36.1 36.0 33.9 24.0 34.0 33.8 33.8 33.8 35.8 35.7 33.4 34.4 36.5 35.1 34.8 33.7 234 36.2 36.2 34.0 34.2 34.2 33.9 33.9 33.9 36.0 35.9 33.5 34.5 36.7 35.3 34.9 33.8 236 36.4 36.3 34.2 34.3 34.4 34.1 34.1 34.0 36.2 36.0 33.6 34.7 36.8 35.4 35.1 34.0 238 36.5 36.5 34.3 34.5 34.5 34.3 34.3 34.2 36.3 36.2 33.7 34.8 37.0 35.6 35.2 34.1 240 36.7 36.7 34.5 34.6 34.7 34.4 34.4 34.3 36.5 36.4 33.9 34.9 37.2 35.8 35.4 34.2 242 36.9 36.8 34.6 34.8 34.8 34.6 34.6 34.4 36.7 36.5 34.0 35.0 37.3 35.9 35.5 34.4 244 37.0 37.0 34.8 34.9 35.0 34.7 34.7 34.5 36.8 36.7 34.1 35.2 37.5 36.1 35.7 34.5 246 37.2 37.2 34.9 35.1 35.1 34.9 34.9 34.7 37.0 36.8 34.2 35.3 37.7 36.2 35.8 34.6 248 37.3 37.4 35.1 35.3 35.3 35.0 35.0 34.8 37.2 37.0 34.3 35.4 37.8 36.4 35.9 34.8 250 37.5 37.5 35.2 35.4 35.5 35.2 35.2 34.9 37.3 37.2 34.5 35.5 38.0 36.5 36.1 34.9 Min 33 33 31 31 32 31 31 32 33 33 31 32 34 33 32 31 Max 38 38 35 35 35 35 35 35 37 37 34 36 38 37 36 35 σ 1.3 1.3 1.2 1.2 1.2 1.2 1.2 1.0 1.3 1.3 1.0 1.1 1.3 1.2 1.2 1.1 Y 36 35 33 33 34 33 33 33 35 35 33 34 36 35 34 33 {tilde over (Y)} 36 35 33 34 34 33 33 33 35 35 33 34 36 35 34 33 [(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]

-   -   -   1.13. In Table 18, Table 19 and Table 20, the calculated             values of |Y|O₂HHb of each TM^(M), at each intensity can be             observed.

TABLE 18 Trend Line Values |Y|O₂HHb between U_(Amin) and U_(Ae). Lim Lim Sup Inf RF RF VL VL ST ST GM GM VI VI GA GA TA TA |Zona |Zona Watts L R L R L R L R L R L R L R Op| Op| 136 9.2 6.5 9.1 8.6 9.1 9.1 10.9 11.1 6.6 5.4 10.0 10.5 5.9 6.8 10.1 8.2 138 9.2 6.5 9.1 8.6 9.1 9.1 10.9 11.1 6.6 5.4 10.0 10.5 5.9 6.8 10.1 8.1 140 9.1 6.4 9.1 8.5 9.1 9.1 10.9 11.1 6.5 5.4 10.0 10.5 5.8 6.8 10.1 8.1 142 9.1 6.4 9.1 8.5 9.1 9.1 10.9 11.1 6.5 5.4 10.0 10.5 5.8 6.7 10.0 8.1 144 9.1 6.3 9.1 8.5 9.1 9.1 11.0 11.1 6.5 5.3 10.1 10.5 5.8 6.7 10.0 8.1 146 9.1 6.3 9.0 8.5 9.1 9.1 11.0 11.1 6.4 5.3 10.1 10.6 5.8 6.7 10.0 8.1 148 9.1 6.3 9.0 8.5 9.0 9.1 11.0 11.1 6.4 5.3 10.1 10.6 5.8 6.7 10.0 8.0 150 9.1 6.3 9.0 8.4 9.0 9.1 11.0 11.1 6.4 5.3 10.2 10.6 5.8 6.7 10.0 8.0 152 9.1 6.2 9.0 8.4 9.0 9.1 11.0 11.1 6.3 5.3 10.2 10.7 5.9 6.7 10.0 8.0 154 9.1 6.2 9.0 8.4 9.0 9.1 11.0 11.1 6.3 5.2 10.3 10.7 5.9 6.7 10.0 8.0 156 9.1 6.2 9.0 8.4 9.0 9.1 11.0 11.1 6.3 5.2 10.3 10.7 5.9 6.7 10.0 8.0 158 9.1 6.2 9.0 8.4 9.0 9.1 11.1 11.2 6.2 5.2 10.4 10.8 5.9 6.7 10.0 8.0 160 9.1 6.2 9.0 8.4 9.0 9.1 11.1 11.2 6.2 5.2 10.4 10.8 5.9 6.7 10.0 8.0 162 9.1 6.2 9.0 8.4 9.0 9.1 11.1 11.2 6.2 5.2 10.5 10.8 5.9 6.7 10.0 7.9 164 9.1 6.2 9.0 8.4 8.9 9.1 11.1 11.2 6.2 5.1 10.5 10.9 5.9 6.7 10.0 7.9 166 9.0 6.2 9.0 8.4 8.9 9.1 11.1 11.2 6.1 5.1 10.6 10.9 5.9 6.7 10.0 7.9 168 9.0 6.1 9.0 8.3 8.9 9.1 11.1 11.2 6.1 5.1 10.6 10.9 5.9 6.7 10.0 7.9 170 9.0 6.1 9.0 8.3 8.9 9.1 11.1 11.2 6.1 5.1 10.6 11.0 6.0 6.7 10.0 7.9 172 9.0 6.1 9.0 8.3 8.9 9.1 11.1 11.2 6.1 5.0 10.7 11.0 6.0 6.7 10.0 7.8 174 9.0 6.1 8.9 8.3 8.9 9.1 11.2 11.2 6.0 5.0 10.7 11.0 6.0 6.7 10.0 7.8 176 9.0 6.1 8.9 8.3 8.8 9.1 11.2 11.2 6.0 5.0 10.8 11.1 6.0 6.7 10.0 7.8 178 9.0 6.1 8.9 8.3 8.8 9.1 11.2 11.2 6.0 4.9 10.8 11.1 6.0 6.7 10.0 7.8 180 9.0 6.1 8.9 8.3 8.8 9.1 11.2 11.2 5.9 4.9 10.8 11.1 6.0 6.7 9.9 7.7 182 9.0 6.1 8.9 8.2 8.8 9.1 11.2 11.2 5.9 4.8 10.8 11.1 6.0 6.7 9.9 7.7 184 9.0 6.1 8.8 8.2 8.7 9.0 11.2 11.2 5.8 4.7 10.9 11.2 6.0 6.7 9.9 7.7 186 8.9 6.1 8.8 8.2 8.7 9.0 11.2 11.2 5.8 4.7 10.9 11.2 5.9 6.6 9.9 7.6 188 8.9 6.1 8.8 8.2 8.7 9.0 11.2 11.2 5.8 4.6 10.9 11.2 5.9 6.6 9.8 7.6 190 8.9 6.1 8.7 8.1 8.6 8.9 11.2 11.2 5.7 4.5 10.9 11.2 5.9 6.6 9.8 7.5 192 8.9 6.1 8.7 8.1 8.6 8.9 11.2 11.2 5.7 4.5 10.9 11.2 5.9 6.6 9.8 7.5 194 8.8 6.0 8.6 8.1 8.5 8.8 11.2 11.2 5.6 4.4 10.9 11.2 5.9 6.6 9.7 7.4 196 8.8 6.0 8.6 8.0 8.5 8.8 11.2 11.2 5.6 4.3 10.9 11.2 5.8 6.5 9.7 7.4 198 8.7 6.0 8.5 8.0 8.4 8.7 11.2 11.2 5.5 4.2 10.8 11.2 5.8 6.5 9.6 7.3 200 8.7 6.0 8.5 7.9 8.3 8.7 11.1 11.2 5.5 4.1 10.8 11.2 5.8 6.5 9.6 7.2 Min 8.7 6.0 8.5 7.9 8.3 8.7 10.9 11.1 5.5 4.1 10.0 10.5 5.8 6.5 9.6 7.2 Max 9.2 6.5 9.1 8.6 9.1 9.1 11.2 11.2 6.6 5.4 10.9 11.2 6.0 6.8 10.1 8.2 σ 0.1 0.1 0.2 0.2 0.2 0.1 0.1 0.1 0.3 0.4 0.3 0.3 0.1 0.1 0.1 0.3 Y 9.0 6.2 8.9 8.3 8.9 9.0 11.1 11.2 6.1 5.0 10.5 10.9 5.9 6.7 9.9 7.8 {tilde over (Y)} 9.0 6.1 9.0 8.3 8.9 9.1 11.1 11.2 6.1 5.1 10.6 10.9 5.9 6.7 10.0 7.9 [(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]

TABLE 19 Trend Line Values |Y|O₂HHb between U_(Ae) and U_(ANA). Lim Lim Sup Inf RF RF VL VL ST ST GM GM VI VI GA GA TA TA |Zona |Zona Watts L R L R L R L R L R L R L R Op| Op| 202 8.7 5.9 8.4 7.9 8.3 8.6 11.1 11.2 5.4 4.0 10.8 11.2 5.7 6.5 9.5 7.2 204 8.6 5.9 8.4 7.8 8.2 8.5 11.1 11.2 5.3 3.9 10.8 11.2 5.7 6.4 9.5 7.1 206 8.6 5.9 8.3 7.7 8.1 8.5 11.1 11.1 5.3 3.8 10.7 11.1 5.6 6.4 9.4 7.0 208 8.5 5.8 8.2 7.7 8.1 8.4 11.1 11.1 5.2 3.7 10.7 11.1 5.6 6.4 9.4 6.9 210 8.5 5.8 8.2 7.6 8.0 8.3 11.0 11.1 5.2 3.6 10.6 11.1 5.5 6.3 9.3 6.9 212 8.4 5.7 8.1 7.5 7.9 8.2 11.0 11.1 5.1 3.5 10.6 11.1 5.5 6.3 9.2 6.8 214 8.3 5.7 8.0 7.5 7.8 8.1 11.0 11.1 5.0 3.4 10.5 11.0 5.4 6.2 9.1 6.7 216 8.3 5.6 7.9 7.4 7.7 8.0 11.0 11.1 5.0 3.3 10.4 11.0 5.4 6.2 9.1 6.6 218 8.2 5.6 7.9 7.3 7.6 7.9 10.9 11.0 4.9 3.2 10.4 11.0 5.3 6.1 9.0 6.5 220 8.1 5.5 7.8 7.2 7.6 7.8 10.9 11.0 4.8 3.1 10.3 10.9 5.2 6.1 8.9 6.4 222 8.1 5.5 7.7 7.2 7.5 7.7 10.9 11.0 4.8 3.0 10.2 10.9 5.2 6.1 8.8 6.3 224 8.0 5.4 7.6 7.1 7.4 7.6 10.8 11.0 4.7 3.0 10.1 10.8 5.1 6.0 8.7 6.2 226 7.9 5.4 7.5 7.0 7.3 7.5 10.8 10.9 4.6 2.9 10.1 10.8 5.1 6.0 8.6 6.1 228 7.9 5.3 7.4 6.9 7.2 7.4 10.8 10.9 4.6 2.8 10.0 10.7 5.0 5.9 8.5 6.0 230 7.8 5.2 7.3 6.8 7.1 7.3 10.7 10.9 4.5 2.7 9.9 10.7 4.9 5.9 8.4 5.9 232 7.7 5.2 7.3 6.8 7.0 7.1 10.7 10.9 4.4 2.6 9.8 10.6 4.9 5.8 8.3 5.8 234 7.6 5.1 7.2 6.7 6.9 7.0 10.7 10.9 4.4 2.5 9.7 10.6 4.8 5.8 8.2 5.7 236 7.6 5.0 7.1 6.6 6.8 6.9 10.6 10.8 4.3 2.5 9.6 10.5 4.8 5.7 8.1 5.5 238 7.5 5.0 7.0 6.5 6.7 6.8 10.6 10.8 4.2 2.4 9.6 10.5 4.7 5.7 8.0 5.4 240 7.4 4.9 6.9 6.4 6.6 6.7 10.6 10.8 4.2 2.4 9.5 10.5 4.6 5.7 7.9 5.3 242 7.3 4.8 6.9 6.3 6.5 6.6 10.5 10.8 4.1 2.3 9.4 10.4 4.6 5.6 7.8 5.2 244 7.3 4.8 6.8 6.3 6.4 6.5 10.5 10.7 4.1 2.3 9.3 10.4 4.5 5.6 7.7 5.1 246 7.2 4.7 6.7 6.2 6.3 6.4 10.5 10.7 4.0 2.2 9.2 10.3 4.5 5.5 7.6 5.0 248 7.1 4.6 6.6 6.1 6.2 6.3 10.4 10.7 4.0 2.2 9.2 10.3 4.4 5.5 7.5 4.9 250 7.0 4.5 6.6 6.0 6.1 6.2 10.4 10.7 3.9 2.2 9.1 10.3 4.4 5.5 7.4 4.8 Min 7.0 4.5 6.6 6.0 6.1 6.2 10.4 10.7 3.9 2.2 9.1 10.3 4.4 5.5 7.4 4.8 Max 8.7 5.9 8.4 7.9 8.3 8.6 11.1 11.2 5.4 4.0 10.8 11.2 5.7 6.5 9.5 7.2 σ 0.5 0.4 0.6 0.6 0.7 0.8 0.2 0.2 0.5 0.6 0.6 0.3 0.4 0.3 0.7 0.7 Y 7.9 5.3 7.5 7.0 7.2 7.4 10.8 10.9 4.6 3.0 10.0 10.8 5.1 6.0 8.6 6.1 {tilde over (Y)} 7.9 5.4 7.5 7.0 7.3 7.5 10.8 10.9 4.6 2.9 10.1 10.8 5.1 6.0 8.6 6.1 [(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]

TABLE 20 Trend Line Values |Y|O₂HHb ≥ U_(Ana). Lim Lim Sup Inf RF RF VL VL ST ST GM GM VI VI GA GA TA TA |Zona |Zona Watts L R L R L R L R L R L R L R Op| Op| 252 7.0 4.5 6.5 00 6.0 6.1 10.4 10.6 3.9 2.2 9.0 10.2 4.4 5.5 7.3 4.7 254 6.9 4.4 6.4 5.9 5.9 6.0 10.4 10.6 3.8 2.2 8.9 10.2 4.3 5.4 7.3 4.6 256 6.8 4.4 6.4 5.8 5.8 5.9 10.3 10.6 3.8 2.2 8.9 10.2 4.3 5.4 7.2 4.6 258 6.8 4.3 6.3 5.8 5.7 5.8 10.3 10.6 3.8 2.2 8.8 10.2 4.3 5.4 7.1 4.5 260 6.7 4.2 6.3 5.7 5.6 5.8 10.3 10.6 3.7 2.2 8.8 10.1 4.3 5.4 7.0 4.4 262 6.6 4.2 6.2 5.7 5.6 5.7 10.2 10.5 3.7 2.2 8.7 10.1 4.2 5.3 7.0 4.4 264 6.6 4.1 6.2 5.6 5.5 5.6 10.2 10.5 3.7 2.3 8.7 10.1 4.2 5.3 6.9 4.3 266 6.5 4.0 6.2 5.6 5.4 5.6 10.2 10.5 3.7 2.3 8.6 10.1 4.2 5.3 6.9 4.3 268 6.4 4.0 6.1 5.5 5.4 5.5 10.1 10.5 3.7 2.3 8.6 10.1 4.2 5.3 6.8 4.2 270 6.4 3.9 6.1 5.5 5.3 5.5 10.1 10.4 3.7 2.4 8.5 10.1 4.2 5.3 6.8 4.2 272 6.3 3.9 6.1 5.5 5.3 5.4 10.1 10.4 3.7 2.4 8.5 10.1 4.2 5.3 6.7 4.2 274 6.3 3.8 6.0 5.4 5.2 5.4 10.0 10.4 3.6 2.4 8.5 10.1 4.2 5.2 6.7 4.1 276 6.2 3.8 6.0 5.4 5.1 5.4 10.0 10.3 3.6 2.5 8.4 10.1 4.2 5.2 6.7 4.1 278 6.1 3.7 6.0 5.4 5.1 5.3 9.9 10.3 3.6 2.5 8.4 10.1 4.2 5.2 6.6 4.1 280 6.1 3.6 6.0 5.3 5.1 5.3 9.9 10.3 3.6 2.5 8.4 10.1 4.2 5.2 6.6 4.1 282 6.0 3.6 6.0 5.3 5.0 5.3 9.8 10.2 3.6 2.5 8.3 10.1 4.2 5.1 6.6 4.0 284 5.9 3.5 5.9 5.3 5.0 5.3 9.8 10.2 3.6 2.5 8.3 10.1 4.1 5.1 6.5 4.0 286 5.9 3.4 5.9 5.2 4.9 5.3 9.7 10.1 3.6 2.4 8.2 10.0 4.1 5.0 6.5 4.0 288 5.8 3.4 5.9 5.2 4.9 5.2 9.6 10.1 3.6 2.4 8.2 10.0 4.1 5.0 6.5 4.0 290 5.7 3.3 5.8 5.2 4.9 5.2 9.5 10.0 3.6 2.3 8.1 10.0 4.0 4.9 6.5 3.9 292 5.6 3.2 5.8 5.1 4.8 5.2 9.4 9.9 3.6 2.2 8.0 10.0 4.0 4.8 6.4 3.9 294 5.5 3.1 5.8 5.1 4.8 5.2 9.3 9.8 3.6 2.0 7.9 9.9 3.9 4.7 6.4 3.9 296 5.4 3.0 5.7 5.0 4.7 5.1 9.2 9.7 3.6 1.8 7.8 9.9 3.8 4.6 6.3 3.8 298 5.3 2.9 5.7 4.9 4.7 5.1 9.0 9.6 3.5 1.6 7.7 9.8 3.7 4.5 6.3 3.7 300 5.2 2.8 5.6 4.9 4.6 5.0 8.9 9.5 3.5 1.3 7.6 9.7 3.6 4.3 6.2 3.7 Min 5.2 2.8 5.6 4.9 4.6 5.0 8.9 9.5 3.5 1.3 7.6 9.7 3.6 4.3 6.2 3.7 Max 7.0 4.5 6.5 6.0 6.0 6.1 10.4 10.6 3.9 2.5 9.0 10.2 4.4 5.5 7.3 4.7 σ 0.5 0.5 0.2 0.3 0.4 0.3 0.4 0.3 0.1 0.3 0.4 0.1 0.2 0.3 0.3 0.3 Y 6.2 3.7 6.0 5.4 5.2 5.5 9.9 10.2 3.7 2.2 8.4 10.0 4.1 5.1 6.7 4.1 {tilde over (Y)} 6.2 3.8 6.0 5.4 5.1 5.4 10.0 10.3 3.6 2.3 8.4 10.1 4.2 5.2 6.7 4.1 [(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]

-   -   -   1.14. In Table 21, Table 22 and Table 23, the calculated             values of |Y|ϕO₂HHb of each TM^(M), at each intensity can be             observed.

TABLE 21 Trend Line Values |Y|ϕO₂HHb between U_(Amin) and U_(Ae). Lim Lim Sup Inf RF RF VL VL ST ST GM GM VI VI GA GA TA TA |Zona |Zona Watts L R L R L R L Ref L R L R L R Op| Op| 136 19.2 13.7 19.1 18.2 19.2 19.3 22.8 22.9 13.7 11.5 21.1 22.0 12.3 14.2 21.2 17.2 138 19.3 13.7 19.2 18.2 19.3 19.4 23.0 23.1 13.7 11.5 21.2 22.2 12.4 14.3 21.3 17.2 140 19.4 13.7 19.3 18.2 19.4 19.5 23.1 23.3 13.7 11.5 21.4 22.3 12.4 14.3 21.4 17.3 142 19.5 13.7 19.4 18.3 19.5 19.6 23.3 23.4 13.7 11.4 21.5 22.5 12.5 14.4 21.5 17.3 144 19.6 13.7 19.4 18.3 19.5 19.7 23.4 23.6 13.7 11.4 21.7 22.7 12.6 14.4 21.6 17.4 146 19.7 13.7 19.5 18.4 19.6 19.8 23.6 23.8 13.8 11.4 21.9 22.9 12.6 14.5 21.7 17.5 148 19.8 13.7 19.6 18.4 19.7 19.9 23.8 24.0 13.8 11.4 22.1 23.0 12.7 14.6 21.8 17.5 150 19.9 13.7 19.7 18.5 19.8 20.0 24.0 24.2 13.8 11.4 22.3 23.2 12.8 14.7 21.9 17.6 152 20.0 13.8 19.8 18.6 19.9 20.1 24.1 24.4 13.8 11.4 22.5 23.4 12.9 14.7 22.1 17.6 154 20.1 13.8 19.9 18.6 20.0 20.2 24.3 24.6 13.9 11.4 22.7 23.6 13.0 14.8 22.2 17.7 156 20.2 13.9 20.0 18.7 20.1 20.3 24.5 24.8 13.9 11.4 22.9 23.9 13.1 14.9 22.3 17.8 158 20.4 13.9 20.1 18.8 20.2 20.5 24.7 25.0 13.9 11.4 23.1 24.1 13.2 15.0 22.5 17.8 160 20.5 14.0 20.2 18.9 20.3 20.6 24.9 25.2 14.0 11.5 23.4 24.3 13.3 15.1 22.6 17.9 162 20.6 14.0 20.3 19.0 20.3 20.7 25.1 25.4 14.0 11.5 23.6 24.5 13.4 15.2 22.7 18.0 164 20.7 14.1 20.4 19.0 20.4 20.8 25.3 25.6 14.1 11.5 23.8 24.7 13.5 15.3 22.8 18.0 166 20.8 14.1 20.6 19.1 20.5 20.9 25.5 25.9 14.1 11.5 24.1 25.0 13.6 15.4 23.0 18.1 168 20.9 14.2 20.7 19.2 20.6 21.0 25.7 26.1 14.1 11.5 24.3 25.2 13.7 15.5 23.1 18.2 170 21.1 14.3 20.8 19.3 20.7 21.1 25.9 26.3 14.2 11.4 24.6 25.4 13.8 15.6 23.2 18.2 172 21.2 14.3 20.9 19.4 20.8 21.2 26.1 26.5 14.2 11.4 24.8 25.7 13.9 15.7 23.3 18.3 174 21.3 14.4 20.9 19.5 20.8 21.3 26.3 26.7 14.2 11.4 25.0 25.9 14.0 15.8 23.5 18.3 176 21.4 14.5 21.0 19.5 20.9 21.4 26.5 26.9 14.3 11.4 25.3 26.1 14.1 15.8 23.6 18.4 178 21.5 14.5 21.1 19.6 20.9 21.5 26.7 27.1 14.3 11.4 25.5 26.4 14.2 15.9 23.7 18.4 180 21.6 14.6 21.2 19.7 21.0 21.5 26.9 27.3 14.3 11.3 25.7 26.6 14.2 16.0 23.8 18.4 182 21.6 14.7 21.3 19.7 21.0 21.6 27.1 27.5 14.3 11.3 25.9 26.8 14.3 16.1 23.9 18.5 184 21.7 14.7 21.3 19.8 21.1 21.7 27.3 27.7 14.3 11.2 26.1 27.0 14.4 16.2 24.0 18.5 186 21.8 14.8 21.4 19.9 21.1 21.7 27.5 27.9 14.3 11.1 26.3 27.2 14.4 16.2 24.0 18.5 188 21.9 14.8 21.5 19.9 21.1 21.7 27.7 28.0 14.3 11.1 26.5 27.4 14.5 16.3 24.1 18.5 190 21.9 14.9 21.5 19.9 21.2 21.8 27.8 28.2 14.3 11.0 26.7 27.6 14.5 16.3 24.2 18.5 192 22.0 14.9 21.5 20.0 21.2 21.8 28.0 28.4 14.3 10.9 26.9 27.8 14.5 16.4 24.2 18.5 194 22.0 14.9 21.6 20.0 21.2 21.8 28.2 28.5 14.2 10.8 27.1 28.0 14.6 16.4 24.3 18.5 196 22.1 15.0 21.6 20.0 21.2 21.8 28.3 28.7 14.2 10.7 27.2 28.2 14.6 16.5 24.3 18.4 198 22.1 15.0 21.6 20.0 21.1 21.8 28.5 28.8 14.1 10.6 27.4 28.4 14.6 16.5 24.4 18.4 200 22.1 15.0 21.6 20.1 21.1 21.8 28.6 28.9 14.1 10.5 27.5 28.6 14.6 16.5 24.4 18.3 Min 19.2 13.7 19.1 18.2 19.2 19.3 22.8 22.9 13.7 10.5 21.1 22.0 12.3 14.2 21.2 17.2 Max 22.1 15.0 21.6 20.1 21.2 21.8 28.6 28.9 14.3 11.5 27.5 28.6 14.6 16.5 24.4 18.5 σ 1.0 0.5 0.8 0.7 0.7 0.9 1.8 1.9 0.2 0.3 2.1 2.1 0.8 0.8 1.1 0.4 Y 20.8 14.3 20.6 19.2 20.4 20.8 25.7 26.0 14.0 11.3 24.3 25.2 13.6 15.4 23.0 18.0 {tilde over (Y)} 20.9 14.2 20.7 19.2 20.6 21.0 25.7 26.1 14.1 11.4 24.3 25.2 13.7 15.5 23.1 18.2 [(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]

TABLE 22 Trend Line Values |Y|ϕO₂HHb between U_(Ae) and U_(ANA). Lim Lim Sup Inf RF RF VL VL ST ST GM GM VI VI GA GA TA TA |Zona |Zona Watts L R L R L R L Ref L R L R L R Op| Op| 202 22.1 15.0 21.6 20.1 21.1 21.8 28.8 29.1 14.0 10.3 27.6 28.7 14.6 16.6 24.4 18.3 204 22.2 15.0 21.6 20.0 21.0 21.7 28.9 29.2 14.0 10.2 27.7 28.9 14.6 16.6 24.4 18.2 206 22.2 15.0 21.6 20.0 21.0 21.7 29.1 29.3 13.9 10.1 27.8 29.0 14.5 16.6 24.4 18.1 208 22.2 15.0 21.6 20.0 20.9 21.6 29.2 29.4 13.8 9.9 27.9 29.2 14.5 16.6 24.4 18.1 210 22.2 15.0 21.5 20.0 20.9 21.5 29.3 29.5 13.7 9.8 28.0 29.3 14.5 16.6 24.4 18.0 212 22.1 15.0 21.5 19.9 20.8 21.5 29.4 29.6 13.6 9.6 28.1 29.4 14.4 16.6 24.4 17.9 214 22.1 15.0 21.4 19.9 20.7 21.4 29.6 29.7 13.5 9.4 28.1 29.5 14.4 16.6 24.3 17.8 216 22.1 14.9 21.4 19.9 20.6 21.3 29.7 29.8 13.4 9.3 28.2 29.6 14.4 16.6 24.3 17.6 218 22.1 14.9 21.3 19.8 20.5 21.2 29.8 29.9 13.3 9.1 28.2 29.7 14.3 16.6 24.2 17.5 220 22.0 14.9 21.2 19.7 20.4 21.1 29.9 30.0 13.2 8.9 28.2 29.8 14.2 16.6 24.1 17.3 222 22.0 14.8 21.2 19.7 20.3 20.9 30.0 30.1 13.1 8.8 28.2 29.9 14.2 16.6 24.1 17.2 224 21.9 14.8 21.1 19.6 20.2 20.8 30.0 30.2 13.0 8.6 28.2 30.0 14.1 16.6 24.0 17.0 226 21.9 14.7 21.0 19.5 20.1 20.7 30.1 30.3 12.9 8.4 28.2 30.1 14.0 16.6 23.9 16.9 228 21.8 14.7 20.9 19.4 19.9 20.5 30.2 30.4 12.7 8.3 28.2 30.2 14.0 16.5 23.8 16.7 230 21.8 14.6 20.8 19.3 19.8 20.4 30.3 30.4 12.6 8.1 28.1 30.2 13.9 16.5 23.7 16.5 232 21.7 14.5 20.7 19.2 19.6 20.2 30.4 30.5 12.5 7.9 28.1 30.3 13.8 16.5 23.5 16.3 234 21.7 14.5 20.6 19.1 19.5 20.1 30.4 30.6 12.4 7.8 28.0 30.3 13.8 16.5 23.4 16.2 236 21.6 14.4 20.5 19.0 19.3 19.9 30.5 30.7 12.3 7.6 28.0 30.4 13.7 16.5 23.3 16.0 238 21.5 14.3 20.4 18.9 19.2 19.8 30.5 30.8 12.2 7.5 27.9 30.4 13.6 16.5 23.2 15.8 240 21.4 14.2 20.2 18.8 19.0 19.6 30.6 30.9 12.0 7.4 27.8 30.5 13.6 16.4 23.0 15.6 242 21.4 14.1 20.1 18.7 18.9 19.4 30.6 30.9 11.9 7.3 27.7 30.5 13.5 16.4 22.9 15.4 244 21.3 14.1 20.0 18.6 18.7 19.3 30.7 31.0 11.8 7.1 27.6 30.6 13.5 16.4 22.8 15.2 246 21.2 14.0 19.9 18.4 18.6 19.1 30.7 31.1 11.7 7.0 27.5 30.6 13.4 16.4 22.6 15.0 248 21.1 13.9 19.8 18.3 18.4 18.9 30.8 31.2 11.7 6.9 27.4 30.6 13.4 16.4 22.5 14.9 250 21.0 13.8 19.7 18.2 18.2 18.8 30.8 31.3 11.6 6.9 27.3 30.7 13.3 16.4 22.3 14.7 Min 21.0 13.8 19.7 18.2 18.2 18.8 28.8 29.1 11.6 6.9 27.3 28.7 13.3 16.4 22.3 14.7 Max 22.2 15.0 21.6 20.1 21.1 21.8 30.8 31.3 14.0 10.3 28.2 30.7 14.6 16.6 24.4 18.3 σ 0.4 0.4 0.6 0.6 0.9 1.0 0.6 0.7 0.8 1.1 0.3 0.6 0.4 0.1 0.7 1.2 Y 21.8 14.6 20.9 19.4 19.9 20.5 30.0 30.2 12.8 8.5 27.9 29.9 14.0 16.5 23.7 16.7 {tilde over (Y)} 21.9 14.7 21.0 19.5 20.1 20.7 30.1 30.3 12.9 8.4 28.0 30.1 14.0 16.6 23.9 16.9 [(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]

TABLE 23 Trend Line Values |Y|ϕO₂HHb ≥ U_(Ana). Lim Lim Sup Inf RF RF VL VL ST ST GM GM VI VI GA GA TA TA |Zona |Zona Watts L R L R L R L R L R L R L R Op| Opl 252 20.9 13.7 19.5 18.1 18.1 18.6 30.9 31.4 11.5 6.8 27.2 30.7 13.3 16.4 22.2 14.5 254 20.8 13.6 19.4 18.0 17.9 18.4 30.9 31.5 11.4 6.7 27.0 30.7 13.2 16.4 22.1 14.3 256 20.7 13.4 19.3 17.8 17.7 18.3 30.9 31.6 11.4 6.7 26.9 30.7 13.2 16.4 21.9 14.2 258 20.6 13.3 19.2 17.7 17.6 18.1 30.9 31.7 11.3 6.7 26.8 30.8 13.2 16.4 21.8 14.0 260 20.5 13.2 19.1 17.6 17.4 17.9 30.9 31.8 11.3 6.7 26.7 30.8 13.2 16.3 21.7 13.8 262 20.4 13.1 19.0 17.5 17.2 17.8 31.0 31.8 11.2 6.6 26.5 30.8 13.1 16.3 21.5 13.7 264 20.3 12.9 18.9 17.3 17.1 17.6 31.0 31.9 11.2 6.7 26.4 30.8 13.1 16.3 21.4 13.5 266 20.2 12.8 18.8 17.2 16.9 17.4 31.0 32.0 11.2 6.7 26.3 30.9 13.1 16.3 21.3 13.4 268 20.0 12.6 18.7 17.1 16.7 17.3 30.9 32.1 11.2 6.7 26.2 30.9 13.1 16.3 21.2 13.2 270 19.9 12.5 18.7 17.0 16.5 17.1 30.9 32.1 11.2 6.7 26.0 30.9 13.0 16.3 21.0 13.1 272 19.7 12.3 18.6 16.9 16.4 17.0 30.9 32.2 11.2 6.8 25.9 30.9 13.0 16.2 20.9 12.9 274 19.6 12.1 18.5 16.7 16.2 16.8 30.8 32.2 11.2 6.8 25.8 30.9 13.0 16.2 20.8 12.8 276 19.4 11.9 18.4 16.6 16.0 16.7 30.8 32.2 11.2 6.9 25.6 31.0 12.9 16.1 20.6 12.7 278 19.2 11.6 18.4 16.5 15.8 16.5 30.7 32.2 11.2 6.9 25.5 31.0 12.9 16.0 20.5 12.5 280 18.9 11.4 18.3 16.4 15.7 16.3 30.6 32.2 11.3 7.0 25.4 31.0 12.8 15.9 20.3 12.4 282 18.7 11.1 18.3 16.2 15.5 16.2 30.5 32.1 11.3 7.0 25.3 31.0 12.7 15.8 20.2 12.2 284 18.4 10.8 18.2 16.1 15.3 16.0 30.4 32.0 11.3 7.0 25.1 31.0 12.7 15.7 20.0 12.1 286 18.1 10.4 18.1 16.0 15.1 15.8 30.2 31.8 11.3 7.1 25.0 30.9 12.5 15.5 19.9 11.9 288 17.7 10.1 18.1 15.8 14.8 15.6 30.0 31.7 11.3 7.1 24.9 30.9 12.4 15.3 19.7 11.7 290 17.3 9.6 18.0 15.7 14.6 15.4 29.8 31.4 11.4 7.1 24.7 30.8 12.2 15.1 19.5 11.6 292 16.9 9.2 18.0 15.5 14.4 15.2 29.5 31.2 11.4 7.0 24.6 30.8 12.0 14.8 19.3 11.4 294 16.4 8.7 17.9 15.3 14.1 15.0 29.3 30.8 11.3 7.0 24.4 30.7 11.7 14.5 19.1 11.2 296 15.9 8.1 17.8 15.1 13.8 14.7 28.9 30.4 11.3 6.9 24.2 30.6 11.4 14.1 18.9 10.9 298 15.3 7.5 17.7 14.9 13.5 14.5 28.5 29.9 11.2 6.7 24.1 30.5 11.1 13.7 18.7 10.7 300 14.7 6.8 17.6 14.7 13.2 14.2 28.1 29.3 11.2 6.5 23.9 30.3 10.6 13.2 18.4 10.4 Min 14.7 6.8 17.6 14.7 13.2 14.2 28.1 29.3 11.2 6.5 23.9 30.3 10.6 13.2 18.4 10.4 Max 20.9 13.7 19.5 18.1 18.1 18.6 31.0 32.2 11.5 7.1 27.2 31.0 13.3 16.4 22.2 14.5 σ 1.8 2.0 0.6 1.0 1.4 1.3 0.8 0.7 0.1 0.2 1.0 0.2 0.7 0.9 1.1 1.2 Y 18.8 11.3 18.5 16.5 15.9 16.6 30.3 31.6 11.3 6.8 25.6 30.8 12.6 15.7 20.5 12.6 {tilde over (Y)} 19.4 11.9 18.4 16.6 16.0 16.7 30.8 31.8 11.3 6.8 25.6 30.8 12.9 16.1 20.6 12.7 [(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]

-   -   -   1.15. In Table 24, Table 25 and Table 26, the calculated             values of |Y|HHb of each TM^(M), at each intensity can be             observed.

TABLE 24 Trend Line Values |Y|HHb between U_(Amin) and U_(Ae). Lim Lim Sup Inf RF RF VL VL ST ST GM GM VI VI GA GA TA TA |Zona |Zona Watts L R L R L R L Ref L R L R L R Op| Op| 136 3.6 6.1 3.0 3.5 3.5 2.9 1.2 1.1 5.9 6.9 1.9 1.7 7.0 5.8 4.5 2.4 138 3.7 6.2 3.0 3.5 3.5 2.9 1.2 1.1 6.0 7.0 1.9 1.7 7.0 5.8 4.6 2.5 140 3.7 6.2 3.0 3.5 3.5 2.9 1.2 1.1 6.0 7.0 1.8 1.7 7.0 5.8 4.6 2.5 142 3.7 6.2 3.0 3.6 3.6 2.9 1.2 1.1 6.0 7.1 1.8 1.7 7.1 5.8 4.6 2.5 144 3.7 6.3 3.0 3.6 3.6 2.9 1.2 1.1 6.1 7.1 1.8 1.6 7.1 5.8 4.7 2.5 146 3.7 6.3 3.0 3.6 3.6 2.9 1.2 1.1 6.1 7.2 1.8 1.6 7.1 5.8 4.7 2.5 148 3.7 6.3 3.0 3.6 3.6 2.9 1.2 1.1 6.2 7.2 1.7 1.6 7.0 5.8 4.7 2.5 150 3.7 6.3 3.0 3.6 3.6 2.9 1.2 1.0 6.2 7.2 1.7 1.6 7.0 5.8 4.7 2.5 152 3.7 6.4 3.0 3.6 3.6 2.9 1.1 1.0 6.2 7.3 1.7 1.5 7.0 5.8 4.7 2.5 154 3.7 6.4 3.0 3.6 3.6 2.9 1.1 1.0 6.3 7.3 1.6 1.5 7.0 5.8 4.8 2.5 156 3.7 6.4 3.0 3.6 3.6 2.9 1.1 1.0 6.3 7.4 1.6 1.5 7.0 5.8 4.8 2.5 158 3.7 6.4 3.0 3.7 3.7 2.9 1.1 1.0 6.3 7.4 1.6 1.4 7.0 5.8 4.8 2.5 160 3.8 6.4 3.0 3.7 3.7 2.9 1.1 1.0 6.4 7.5 1.5 1.4 7.0 5.8 4.8 2.5 162 3.8 6.4 3.1 3.7 3.7 2.9 1.1 1.0 6.4 7.5 1.5 1.4 7.0 5.7 4.8 2.5 164 3.8 6.5 3.1 3.7 3.7 2.9 1.1 1.0 6.4 7.5 1.4 1.3 7.0 5.7 4.8 2.5 166 3.8 6.5 3.1 3.7 3.7 2.9 1.0 1.0 6.5 7.6 1.4 1.3 7.0 5.7 4.9 2.5 168 3.8 6.5 3.1 3.7 3.7 2.9 1.0 0.9 6.5 7.6 1.3 1.3 7.0 5.7 4.9 2.5 170 3.8 6.5 3.1 3.7 3.7 2.9 1.0 0.9 6.5 7.7 1.3 1.3 7.0 5.7 4.9 2.5 172 3.8 6.5 3.1 3.7 3.7 2.9 1.0 0.9 6.6 7.7 1.3 1.2 7.0 5.7 4.9 2.5 174 3.8 6.5 3.1 3.7 3.7 2.9 1.0 0.9 6.6 7.8 1.2 1.2 7.0 5.7 5.0 2.5 176 3.8 6.5 3.1 3.8 3.8 2.9 1.0 0.9 6.7 7.8 1.2 1.2 7.0 5.7 5.0 2.6 178 3.8 6.5 3.2 3.8 3.8 2.9 1.0 0.9 6.7 7.9 1.2 1.1 7.0 5.7 5.0 2.6 180 3.8 6.6 3.2 3.8 3.8 3.0 1.0 0.9 6.8 7.9 1.1 1.1 7.0 5.7 5.0 2.6 182 3.9 6.6 3.2 3.8 3.8 3.0 1.0 0.9 6.8 8.0 1.1 1.1 7.0 5.7 5.1 2.6 184 3.9 6.6 3.2 3.9 3.9 3.0 1.0 0.9 6.8 8.1 1.1 1.1 7.0 5.7 5.1 2.6 186 3.9 6.6 3.3 3.9 3.9 3.0 1.0 0.9 6.9 8.1 1.1 1.1 7.0 5.7 5.1 2.6 188 3.9 6.6 3.3 3.9 3.9 3.1 1.0 0.9 6.9 8.2 1.1 1.1 7.1 5.7 5.2 2.7 190 4.0 6.7 3.4 4.0 4.0 3.1 1.0 0.9 7.0 8.2 1.1 1.1 7.1 5.7 5.2 2.7 192 4.0 6.7 3.4 4.0 4.0 3.2 1.0 0.9 7.0 8.3 1.1 1.1 7.1 5.7 5.3 2.7 194 4.0 6.7 3.4 4.0 4.0 3.2 1.0 0.9 7.1 8.4 1.1 1.1 7.1 5.7 5.3 2.8 196 4.1 6.8 3.5 4.1 4.1 3.3 1.0 0.9 7.2 8.5 1.1 1.1 7.2 5.8 5.4 2.8 198 4.1 6.8 3.5 4.1 4.1 3.4 1.0 1.0 7.2 8.5 1.1 1.1 7.2 5.8 5.4 2.8 200 4.1 6.8 3.6 4.2 4.2 3.4 1.0 1.0 7.3 8.6 1.1 1.1 7.2 5.8 5.5 2.9 Min 3.6 6.1 3.0 3.5 3.5 2.9 1.0 0.9 5.9 6.9 1.1 1.1 7.0 5.7 4.5 2.4 Max 4.1 6.8 3.6 4.2 4.2 3.4 1.2 1.1 7.3 8.6 1.9 1.7 7.2 5.8 5.5 2.9 σ 0.1 0.2 0.2 0.2 0.2 0.1 1.0 1.0 0.4 0.5 0.3 0.2 0.1 0.1 0.3 0.1 Y 3.8 6.5 3.2 3.8 3.8 3.0 1.1 1.0 6.5 7.7 1.4 1.3 7.0 5.7 4.9 2.6 {tilde over (Y)} 3.8 6.5 3.1 3.7 3.7 2.9 1.0 1.0 6.5 7.6 1.3 1.3 7.0 5.7 4.9 2.5 [(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]

TABLE 25 Trend Line Values |Y|HHb between U_(Ae) and U_(ANA). Lim Lim Sup Inf RF RF VL VL ST ST GM GM VI VI GA GA TA TA |Zona |Zona Watts L R L R L R L R L R L R L R Op| Op| 202 4.2 6.9 3.7 4.3 4.3 3.5 1.0 1.0 7.3 8.7 1.1 1.1 7.3 5.9 5.5 2.9 204 4.2 6.9 3.7 4.3 4.3 3.6 1.0 1.0 7.4 8.8 1.1 1.1 7.3 5.9 5.6 2.9 206 4.3 7.0 3.8 4.4 4.4 3.7 1.0 1.0 7.5 8.8 1.2 1.1 7.4 5.9 5.6 3.0 208 4.3 7.0 3.9 4.4 4.4 3.7 1.0 1.0 7.5 8.9 1.2 1.2 7.4 6.0 5.7 3.0 210 4.4 7.1 3.9 4.5 4.5 3.8 1.1 1.0 7.6 9.0 1.2 1.2 7.5 6.0 5.8 3.1 212 4.4 7.1 4.0 4.6 4.6 3.9 1.1 1.0 7.6 9.1 1.3 1.2 7.5 6.1 5.8 3.2 214 4.5 7.2 4.1 4.6 4.6 4.0 1.1 1.1 7.7 9.2 1.3 1.3 7.6 6.1 5.9 3.2 216 4.5 7.2 4.1 4.7 4.7 4.1 1.1 1.1 7.8 9.2 1.4 1.3 7.6 6.2 6.0 3.3 218 4.6 7.3 4.2 4.8 4.8 4.2 1.1 1.1 7.8 9.3 1.5 1.3 7.7 6.3 6.1 3.3 220 4.7 7.3 4.3 4.9 4.9 4.3 1.2 1.1 7.9 9.4 1.5 1.4 7.8 6.3 6.1 3.4 222 4.7 7.4 4.4 4.9 4.9 4.4 1.2 1.1 8.0 9.5 1.6 1.4 7.8 6.4 6.2 3.5 224 4.8 7.4 4.5 5.0 5.0 4.5 1.2 1.1 8.0 9.5 1.6 1.4 7.9 6.4 6.3 3.5 226 4.9 7.5 4.5 5.1 5.1 4.6 1.2 1.1 8.1 9.6 1.7 1.5 7.9 6.5 6.4 3.6 228 4.9 7.6 4.6 5.2 5.2 4.7 1.2 1.1 8.2 9.7 1.8 1.5 8.0 6.6 6.5 3.7 230 5.0 7.6 4.7 5.3 5.3 4.8 1.3 1.2 8.2 9.8 1.9 1.5 8.0 6.6 6.5 3.7 232 5.1 7.7 4.8 5.3 5.3 4.9 1.3 1.2 8.3 9.8 1.9 1.6 8.1 6.7 6.6 3.8 234 5.1 7.7 4.8 5.4 5.4 5.0 1.3 1.2 8.4 9.9 2.0 1.6 8.1 6.7 6.7 3.9 236 5.2 7.8 4.9 5.5 5.5 5.1 1.3 1.2 8.4 10.0 2.1 1.6 8.2 6.8 6.8 3.9 238 5.3 7.9 5.0 5.6 5.6 5.2 1.3 1.2 8.5 10.0 2.2 1.7 8.2 6.8 6.9 4.0 240 5.4 7.9 5.1 5.6 5.6 5.3 1.4 1.2 8.5 10.1 2.3 1.7 8.3 6.9 6.9 4.1 242 5.4 8.0 5.1 5.7 5.7 5.4 1.4 1.2 8.6 10.1 2.3 1.7 8.3 6.9 7.0 4.1 244 5.5 8.0 5.2 5.8 5.8 5.5 1.4 1.2 8.6 10.2 2.4 1.8 8.4 7.0 7.1 4.2 246 5.6 8.1 5.3 5.9 5.9 5.6 1.4 1.2 8.7 10.2 2.5 1.8 8.4 7.0 7.2 4.3 248 5.6 8.1 5.3 5.9 5.9 5.7 1.4 1.2 8.7 10.3 2.6 1.8 8.4 7.1 7.2 4.4 250 5.7 8.2 5.4 6.0 6.0 5.8 1.5 1.2 8.8 10.3 2.6 1.8 8.5 7.1 7.3 4.4 Min 4.2 6.9 3.7 4.3 4.3 3.5 1.0 1.0 7.3 8.7 1.1 1.1 7.3 5.9 5.5 2.9 Max 5.7 8.2 5.4 6.0 6.0 5.8 1.5 1.2 8.8 10.3 2.6 1.8 8.5 7.1 7.3 4.4 σ 0.5 0.4 0.5 0.5 0.5 0.7 0.1 0.1 0.4 0.5 0.5 0.2 0.4 0.4 0.6 0.5 Y 4.9 7.5 4.5 5.1 5.1 4.6 1.2 1.1 8.1 9.6 1.8 1.5 7.9 6.5 6.4 3.6 {tilde over (Y)} 4.9 7.5 4.5 5.1 5.1 4.6 1.2 1.1 8.1 9.6 1.7 1.5 7.9 6.5 6.4 3.6 [(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]

TABLE 26 Trend Line Values |Y|HHb ≥ U_(Ana). Lim Lim Sup Inf RF RF VL VL ST ST GM GM VI VI GA GA TA TA |Zona |Zona Watts L R L R L R L R L R L R L R Op| Op| 252 5.8 8.2 5.4 6.0 6.0 5.8 1.5 1.2 8.8 0 00 2.7 1.8 8.5 7.1 7.4 4.5 254 5.8 8.3 5.5 6.1 6.1 5.9 1.5 1.2 8.8 10.4 2.8 1.8 8.5 7.1 7.5 4.6 256 5.9 8.3 5.5 6.2 6.2 6.0 1.5 1.2 8.9 10.4 2.8 1.8 8.6 7.2 7.5 4.6 258 6.0 8.4 5.6 6.2 6.2 6.0 1.5 1.2 8.9 10.4 2.9 1.9 8.6 7.2 7.6 4.7 260 6.0 8.5 5.6 6.3 6.3 6.1 1.5 1.2 8.9 10.4 2.9 1.9 8.6 7.2 7.7 4.7 262 6.1 8.5 5.7 6.3 6.3 6.2 1.6 1.2 8.9 10.4 3.0 1.9 8.6 7.2 7.7 4.8 264 6.1 8.6 5.7 6.4 6.4 6.2 1.6 1.2 9.0 10.4 3.1 1.9 8.6 7.2 7.8 4.8 266 6.2 8.6 5.8 6.4 6.4 6.3 1.6 1.2 9.0 10.5 3.1 1.8 8.6 7.2 7.8 4.9 268 6.3 8.7 5.8 6.4 6.4 6.3 1.6 1.2 9.0 10.5 3.1 1.8 8.6 7.2 7.9 4.9 270 6.3 8.7 5.8 6.5 6.5 6.4 1.7 1.3 9.0 10.5 3.2 1.8 8.7 7.2 7.9 5.0 272 6.4 8.8 5.9 6.5 6.5 6.4 1.7 1.3 9.0 10.5 3.2 1.8 8.7 7.2 8.0 5.0 274 6.5 8.9 5.9 6.6 6.6 6.5 1.7 1.3 9.0 10.5 3.2 1.8 8.7 7.2 8.0 5.1 276 6.5 8.9 5.9 6.6 6.6 6.5 1.7 1.3 9.1 10.4 3.3 1.8 8.7 7.2 8.1 5.1 278 6.6 9.0 6.0 6.7 6.7 6.6 1.8 1.4 9.1 10.4 3.3 1.8 8.7 7.2 8.1 5.2 280 6.7 9.1 6.0 6.7 6.7 6.7 1.8 1.4 9.1 10.4 3.3 1.8 8.8 7.2 8.2 5.2 282 6.7 9.2 6.1 6.8 6.8 6.7 1.9 1.5 9.1 10.4 3.4 1.8 8.8 7.3 8.2 5.3 284 6.8 9.3 6.1 6.8 6.8 6.8 2.0 1.6 9.1 10.5 3.4 1.8 8.8 7.3 8.3 5.3 286 6.9 9.4 6.2 6.9 6.9 6.9 2.0 1.7 9.1 10.5 3.4 1.8 8.9 7.3 8.4 5.4 288 7.0 9.6 6.2 6.9 6.9 7.0 2.1 1.8 9.2 10.5 3.4 1.8 9.0 7.4 8.4 5.5 290 7.1 9.7 6.3 7.0 7.0 7.1 2.2 1.9 9.2 10.5 3.5 1.8 9.0 7.4 8.5 5.6 292 7.2 9.9 6.4 7.1 7.1 7.2 2.3 2.0 9.2 10.5 3.5 1.9 9.1 7.5 8.6 5.7 294 7.3 10.1 6.5 7.2 7.2 7.4 2.5 2.2 9.3 10.6 3.5 1.9 9.3 7.6 8.7 5.8 296 7.5 10.3 6.6 7.3 7.3 7.5 2.6 2.4 9.4 10.7 3.6 2.0 9.4 7.7 8.9 5.9 298 7.6 10.6 6.7 7.5 7.5 7.7 2.8 2.6 9.4 10.7 3.7 2.1 9.6 7.9 9.0 6.1 300 7.8 10.9 6.9 7.6 7.6 7.9 3.0 2.8 9.5 10.8 3.7 2.2 9.8 8.1 9.2 6.2 Min 5.8 8.2 5.4 6.0 6.0 5.8 1.5 1.2 8.8 10.3 2.7 1.8 8.5 7.1 7.4 4.5 Max 7.8 10.9 6.9 7.6 7.6 7.9 3.0 2.8 9.5 10.8 3.7 2.2 9.8 8.1 9.2 6.2 σ 0.6 0.7 0.4 0.4 0.4 0.6 0.4 0.5 0.2 0.1 0.3 0.1 0.3 0.2 0.5 0.5 Y 6.6 9.1 6.0 6.7 6.7 6.7 1.9 1.6 9.1 10.5 3.2 1.9 8.8 7.3 8.1 5.2 {tilde over (Y)} 6.5 8.9 5.9 6.6 6.6 6.5 1.7 1.3 9.1 10.5 3.3 1.8 8.7 7.2 8.1 5.1 [(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]

-   -   -   1.16. In Table 27, Table 28 and Table 29, the calculated             values of |Y|ϕHHb of each TM^(M), at each intensity can be             observed.

TABLE 27 Trend Line Values |Y|ϕHHb between U_(Amin) and U_(Ae). Lim Lim Sup Inf RF RF VL VL ST ST GM GM VI VI GA GA TA TA |Zona |Zona Watts L R L R L R L Ref L R L R L R Op| Op| 136 7.7 13.0 6.6 7.6 6.7 6.4 2.9 2.8 12.8 15.1 3.9 3.7 15.1 12.1 9.4 4.9 138 7.7 13.1 6.7 7.7 6.7 6.4 2.9 2.8 12.9 15.2 3.9 3.7 15.2 12.2 9.5 5.0 140 7.8 13.3 6.7 7.8 6.8 6.5 2.9 2.8 13.1 15.3 3.9 3.7 15.3 12.3 9.6 5.0 142 7.9 13.4 6.8 7.8 6.8 6.5 2.9 2.8 13.2 15.5 3.9 3.7 15.4 12.4 9.6 5.0 144 8.0 13.6 6.8 7.9 6.8 6.5 2.8 2.7 13.4 15.6 3.8 3.6 15.4 12.5 9.7 5.0 146 8.0 13.7 6.8 8.0 6.9 6.6 2.8 2.7 13.5 15.7 3.8 3.6 15.5 12.5 9.8 5.1 148 8.1 13.9 6.8 8.0 6.9 6.6 2.8 2.7 13.6 15.9 3.7 3.6 15.5 12.6 9.9 5.1 150 8.2 14.0 6.8 8.1 6.9 6.6 2.7 2.6 13.8 16.0 3.7 3.5 15.6 12.7 9.9 5.1 152 8.2 14.1 6.9 8.1 7.0 6.6 2.7 2.6 13.9 16.1 3.6 3.4 15.6 12.7 10.0 5.1 154 8.3 14.2 6.9 8.1 7.0 6.6 2.6 2.5 14.0 16.2 3.5 3.4 15.6 12.8 10.0 5.1 156 8.4 14.3 6.9 8.2 7.0 6.6 2.6 2.5 14.1 16.4 3.5 3.3 15.7 12.8 10.1 5.1 158 8.4 14.4 6.9 8.2 7.0 6.6 2.5 2.4 14.2 16.5 3.4 3.2 15.7 12.9 10.2 5.1 160 8.5 14.5 6.9 8.2 7.1 6.6 2.5 2.3 14.4 16.6 3.3 3.2 15.8 12.9 10.2 5.1 162 8.6 14.6 6.9 8.3 7.1 6.6 2.4 2.3 14.5 16.8 3.3 3.1 15.8 13.0 10.3 5.1 164 8.6 14.7 6.9 8.3 7.1 6.6 2.4 2.2 14.6 16.9 3.2 3.0 15.8 13.0 10.4 5.1 166 8.7 14.8 7.0 8.4 7.2 6.6 2.3 2.1 14.8 17.1 3.1 3.0 15.9 13.1 10.4 5.1 168 8.8 15.0 7.0 8.4 7.2 6.6 2.3 2.1 14.9 17.3 3.1 2.9 15.9 13.1 10.5 5.1 170 8.8 15.1 7.0 8.5 7.3 6.6 2.2 2.0 15.0 17.4 3.0 2.8 16.0 13.2 10.6 5.1 172 8.9 15.2 7.1 8.5 7.3 6.7 2.2 1.9 15.2 17.6 3.0 2.8 16.1 13.2 10.7 5.1 174 9.0 15.3 7.1 8.6 7.4 6.7 2.1 1.9 15.4 17.8 2.9 2.7 16.1 13.3 10.8 5.2 176 9.1 15.4 7.2 8.7 7.5 6.8 2.1 1.8 15.5 18.0 2.9 2.7 16.2 13.4 10.9 5.2 178 9.2 15.5 7.3 8.8 7.6 6.8 2.1 1.8 15.7 18.3 2.8 2.6 16.3 13.5 11.1 5.3 180 9.3 15.7 7.3 8.9 7.7 6.9 2.0 1.8 15.9 18.5 2.8 2.6 16.4 13.6 11.2 5.3 182 9.4 15.8 7.4 9.0 7.8 7.0 2.0 1.7 16.1 18.8 2.8 2.6 16.6 13.7 11.4 5.4 184 9.5 15.9 7.5 9.1 7.9 7.1 2.0 1.7 16.3 19.0 2.8 2.5 16.7 13.8 11.5 5.5 186 9.6 16.1 7.6 9.2 8.1 7.2 2.0 1.7 16.5 19.3 2.8 2.5 16.8 13.9 11.7 5.6 188 9.7 16.3 7.8 9.4 8.2 7.4 2.0 1.7 16.7 19.6 2.8 2.5 17.0 14.0 11.9 5.7 190 9.8 16.4 7.9 9.5 8.4 7.5 2.0 1.7 16.9 19.9 2.8 2.5 17.2 14.2 12.1 5.8 192 10.0 16.6 8.1 9.7 8.6 7.7 2.0 1.7 17.2 20.3 2.8 2.5 17.4 14.3 12.3 6.0 194 10.1 16.8 8.3 9.9 8.8 7.9 2.0 1.7 17.4 20.6 2.9 2.6 17.6 14.5 12.5 6.1 196 10.3 17.0 8.4 10.1 9.0 8.1 2.0 1.7 17.7 21.0 2.9 2.6 17.8 14.6 12.8 6.3 198 10.4 17.2 8.6 10.3 9.2 8.3 2.1 1.7 18.0 21.3 3.0 2.6 18.0 14.8 13.1 6.4 200 10.6 17.4 8.8 10.5 9.4 8.5 2.1 1.8 18.2 21.7 3.0 2.7 18.2 15.0 13.3 6.6 Min 7.7 13.0 6.6 7.6 6.7 6.4 2.0 1.7 12.8 15.1 2.8 2.5 15.1 12.1 9.4 4.9 Max 10.6 17.4 8.8 10.5 9.4 8.5 2.9 2.8 18.2 21.7 3.9 3.7 18.2 15.0 13.3 6.6 σ 0.8 1.2 0.6 0.8 0.8 0.6 0.3 0.4 1.6 1.9 0.4 0.4 0.8 0.8 1.1 0.5 Y 8.9 15.0 7.3 8.7 7.5 6.9 2.4 2.1 15.1 17.7 3.2 3.0 16.2 13.3 10.8 5.3 {tilde over (Y)} 8.8 15.0 7.0 8.4 7.2 6.6 2.3 2.1 14.9 17.3 3.1 2.9 15.9 13.1 10.5 5.1 [(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]

TABLE 28 Trend Line Values |Y|ϕHHb between U_(Ae) and U_(ANA). Lim Lim Sup Inf RF RF VL VL ST ST GM GM VI VI GA GA TA TA |Zona |Zona Watts L R L R L R L R L R L R L R Op| Op| 202 10.8 17.6 9.1 10.7 9.7 8.7 2.2 1.8 18.5 22.1 3.1 2.7 18.5 15.2 13.6 6.8 204 11.0 17.8 9.3 11.0 10.0 9.0 2.2 1.9 18.8 22.5 3.2 2.8 18.7 15.4 13.9 7.0 206 11.1 18.1 9.6 11.2 10.2 9.3 2.3 1.9 19.1 22.9 3.3 2.9 19.0 15.6 14.2 7.2 208 11.3 18.3 9.8 11.5 10.5 9.6 2.4 2.0 19.4 23.3 3.4 3.0 19.3 15.8 14.5 7.4 210 11.6 18.6 10.1 11.8 10.8 9.9 2.5 2.1 19.8 23.7 3.6 3.1 19.6 16.1 14.8 7.6 212 11.8 18.8 10.4 12.1 11.1 10.2 2.5 2.2 20.1 24.2 3.7 3.2 19.9 16.3 15.1 7.8 214 12.0 19.1 10.7 12.3 11.5 10.5 2.6 2.3 20.4 24.6 3.9 3.3 20.2 16.6 15.4 8.1 216 12.2 19.4 11.0 12.6 11.8 10.9 2.7 2.4 20.8 25.0 4.0 3.4 20.5 16.8 15.7 8.3 218 12.5 19.6 11.3 13.0 12.1 11.2 2.8 2.5 21.1 25.4 4.2 3.5 20.8 17.1 16.0 8.6 220 12.7 19.9 11.6 13.3 12.5 11.6 2.9 2.6 21.5 25.9 4.3 3.6 21.1 17.3 16.4 8.8 222 12.9 20.2 11.9 13.6 12.9 11.9 3.0 2.7 21.8 26.3 4.5 3.8 21.4 17.6 16.7 9.1 224 13.2 20.5 12.2 13.9 13.2 12.3 3.2 2.8 22.2 26.7 4.7 3.9 21.7 17.8 17.1 9.3 226 13.5 20.8 12.5 14.2 13.6 12.7 3.3 2.9 22.5 27.1 4.9 4.0 22.1 18.1 17.4 9.6 228 13.7 21.1 12.9 14.6 14.0 13.1 3.4 3.0 22.9 27.5 5.1 4.2 22.4 18.3 17.8 9.9 230 14.0 21.4 13.2 14.9 14.3 13.5 3.5 3.1 23.2 27.9 5.3 4.3 22.7 18.6 18.2 10.2 232 14.3 21.7 13.5 15.2 14.7 13.9 3.6 3.3 23.6 28.3 5.5 4.4 23.0 18.9 18.5 10.5 234 14.5 22.0 13.9 15.5 15.1 14.3 3.8 3.4 23.9 28.7 5.8 4.5 23.3 19.1 18.9 10.7 236 14.8 22.3 14.2 15.8 15.5 14.6 3.9 3.5 24.2 29.0 6.0 4.7 23.6 19.4 19.2 11.0 238 15.1 22.6 14.5 16.2 15.8 15.0 4.0 3.6 24.6 29.3 6.2 4.8 23.9 19.6 19.6 11.3 240 15.4 22.9 14.8 16.5 16.2 15.4 4.1 3.7 24.9 29.6 6.4 4.9 24.2 19.8 20.0 11.6 242 15.7 23.1 15.1 16.8 16.6 15.8 4.2 3.8 25.2 29.9 6.6 5.0 24.4 20.1 20.4 12.0 244 16.0 23.4 15.4 17.1 16.9 16.2 4.3 3.9 25.5 30.2 6.9 5.1 24.7 20.3 20.8 12.3 246 16.2 23.7 15.7 17.4 17.3 16.5 4.4 4.0 25.8 30.5 7.1 5.2 24.9 20.5 21.2 12.6 248 16.5 24.0 16.0 17.6 17.6 16.9 4.5 4.1 26.0 30.7 7.3 5.3 25.2 20.7 21.5 13.0 250 16.8 24.3 16.3 17.9 17.9 17.2 4.6 4.1 26.3 30.9 7.5 5.4 25.4 20.9 21.9 13.3 Min 10.8 17.6 9.1 10.7 9.7 8.7 2.2 1.8 18.5 22.1 3.1 2.7 18.5 15.2 13.6 6.8 Max 16.8 24.3 16.3 17.9 17.9 17.2 4.6 4.1 26.3 30.9 7.5 5.4 25.4 20.9 21.9 13.3 σ 1.9 2.1 2.3 2.3 2.6 2.7 0.8 0.8 2.4 2.8 1.4 0.9 2.2 1.8 2.6 2.0 Y 13.6 20.8 12.6 14.3 13.7 12.8 3.3 2.9 22.5 26.9 5.1 4.0 22.0 18.1 17.5 9.8 {tilde over (Y)} 13.5 20.8 12.5 14.2 13.6 12.7 3.3 2.9 22.5 27.1 4.9 4.0 22.1 18.1 17.4 9.6 [(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]

TABLE 29 Trend Line Values |Y|ϕHHb ≥ U_(Ana). Lim Lim Sup Inf RF RF VL VL ST ST GM GM VI VI GA GA TA TA |Zona |Zona Watts L R L R L R L R L R L R L R Op| Op| 252 17.1 24.6 16.5 18.2 18.3 17.6 4.7 4.2 26.5 31.1 7.8 5.5 25.6 21.0 22.2 13.5 254 17.4 24.8 16.8 18.4 18.6 17.9 4.8 4.3 26.7 31.3 8.0 5.5 25.8 21.2 22.5 13.8 256 17.7 25.1 17.0 18.7 18.9 18.2 4.9 4.3 27.0 31.4 8.2 5.6 25.9 21.4 22.8 14.1 258 18.0 25.4 17.2 18.9 19.2 18.5 5.0 4.4 27.1 31.5 8.4 5.6 26.1 21.5 23.1 14.3 260 18.2 25.6 17.4 19.1 19.5 18.8 5.1 4.4 27.3 31.6 8.6 5.7 26.2 21.6 23.3 14.5 262 18.5 25.9 17.6 19.3 19.7 19.1 5.1 4.4 27.5 31.7 8.8 5.7 26.3 21.8 23.6 14.8 264 18.8 26.2 17.8 19.5 20.0 19.3 5.2 4.5 27.6 31.8 9.0 5.7 26.5 21.9 23.8 15.0 266 19.1 26.4 17.9 19.7 20.3 19.6 5.3 4.5 27.7 31.8 9.2 5.7 26.6 22.0 24.1 15.2 268 19.3 26.7 18.1 19.9 20.5 19.8 5.3 4.5 27.8 31.9 9.4 5.7 26.7 22.1 24.3 15.4 270 19.6 27.0 18.2 20.0 20.7 20.0 5.4 4.5 27.9 31.9 9.6 5.7 26.7 22.2 24.5 15.5 272 19.9 27.2 18.3 20.2 20.9 20.2 5.5 4.5 28.0 31.9 9.8 5.7 26.8 22.3 24.7 15.7 274 20.1 27.5 18.4 20.3 21.2 20.4 5.5 4.5 28.1 31.9 10.0 5.7 26.9 22.4 24.9 15.9 276 20.4 27.8 18.5 20.5 21.4 20.6 5.6 4.5 28.1 31.9 10.1 5.7 27.0 22.5 25.1 16.0 278 20.6 28.1 18.6 20.6 21.6 20.8 5.7 4.5 28.1 31.9 10.3 5.7 27.0 22.6 25.2 16.2 280 20.9 28.4 18.7 20.8 21.8 20.9 5.8 4.5 28.2 32.0 10.5 5.7 27.1 22.7 25.5 16.4 282 21.2 28.7 18.8 21.0 22.0 21.1 5.9 4.6 28.2 32.0 10.7 5.7 27.2 22.8 25.7 16.6 284 21.4 29.1 18.9 21.1 22.2 21.3 6.0 4.6 28.2 32.1 10.9 5.7 27.3 22.9 25.9 16.8 286 21.7 29.5 19.0 21.3 22.4 21.4 6.1 4.6 28.2 32.2 11.1 5.7 27.5 23.1 26.2 17.0 288 22.0 29.9 19.0 21.5 22.6 21.6 6.2 4.7 28.2 32.3 11.3 5.7 27.7 23.2 26.4 17.2 290 22.3 30.3 19.1 21.7 22.8 21.8 6.4 4.8 28.2 32.5 11.6 5.7 27.9 23.4 26.7 17.4 292 22.5 30.8 19.3 22.0 23.1 22.0 6.6 4.9 28.2 32.8 11.8 5.8 28.1 23.7 26.9 17.6 294 22.8 31.3 19.4 22.3 23.4 22.2 6.8 5.0 28.2 33.1 12.1 5.9 28.4 24.0 27.2 17.9 296 23.2 31.9 19.6 22.6 23.7 22.5 7.1 5.2 28.3 33.5 12.4 6.1 28.8 24.3 27.6 18.2 298 23.5 32.5 19.7 23.0 24.0 22.8 7.4 5.5 28.4 34.0 12.7 6.2 29.2 24.7 28.0 18.5 300 23.8 33.2 20.0 23.4 24.4 23.1 7.7 5.7 28.5 34.6 13.1 6.5 29.8 25.2 28.4 18.8 Min 17.1 24.6 16.5 18.2 18.3 17.6 4.7 4.2 26.5 31.1 7.8 5.5 25.6 21.0 22.2 13.5 Max 23.8 33.2 20.0 23.4 24.4 23.1 7.7 5.7 28.5 34.6 13.1 6.5 29.8 25.2 28.4 18.8 σ 2.0 2.5 0.9 1.4 1.7 1.6 0.8 0.4 0.5 0.8 1.5 0.2 1.1 1.1 1.8 1.5 Y 20.4 28.2 18.4 20.6 21.3 20.5 5.8 4.6 27.9 32.2 10.2 5.8 27.2 22.7 25.1 16.1 {tilde over (Y)} 20.4 27.8 18.5 20.5 21.4 20.6 5.6 4.5 28.1 31.9 10.1 5.7 27.0 22.5 25.1 16.0 [(Min) Minimum value; (Max) Maximum value; (σ) standard deviation value; (Y) average value; ({tilde over (Y)}) median value]

-   -   -   1.17. In FIG. 52-100 , the graphical representation of the             calculated values corresponding to the slope of the trend             line             of |Y|SmO₂ ^(%), |Y|O₂HHb, |Y|ϕO₂HHb, |Y|HHb, |Y|ϕHHb,             |Y|ThB and |Y|ϕThB, of each TM^(M) can be observed.         -   1.18. In Table 30, the intensity ranges which produce the             1st, 2nd and 3rd General Change in the Slopes of the Trend             Lines of             |Y|SmO₂ ^(%),             |Y|O₂HHb,             |Y|ϕO₂HHb,             |Y|HHb,             |Y|ϕHHb,             |Y|ThB and             |Y|ϕThB, of each TM^(M) can be observed.             -   The 1st General Change                 is equals the Minimum Activation Threshold (U_(Amin)),                 the 2nd General Change                 is equals the Aerobic Threshold (U_(Ae)) and the 3rd                 General Change                 is equals the Threshold Anaerobic (U_(ANA)), of each                 TM^(M).

TABLE 30 General changes in trend and physiological thresholds of each TM^(M). 1st Change (p) 2nd Change (p) 3rd Change (p) U_(Amin Individual) U_(Ae Individual) U_(Ana Individual) Rango|X| (Watts) Rango|X| (Watts) Rango|X| (Watts) TM^(M) |X| (Watts) |X| (Watts) |X| (Watts) RF L 134 − 138 198 − 206 246 − 266 136 202 256 RF R 132 − 142 198 − 208 244 − 266 137 203 255 VL L 130 − 138 192 − 206 254 − 270 134 199 262 VL R 130 − 140 196 − 206 254 − 268 135 201 261 ST L 132 − 144 196 − 206 254 − 268 138 201 261 ST R 130 138 192 − 204 254 − 276 134 198 265 GM L 132 − 138 192 − 208 244 − 262 135 200 253 GM R 130 − 140 194 − 206 238 − 262 135 200 250 VI L 132 − 150 190 − 206 244 − 270 141 198 257 VI R 126 − 140 184 − 206 250 − 258 133 195 254 GA L 126 − 138 194 − 214 258 − 274 132 204 266 GA R 126 138 190 − 212 256 − 260 132 201 258 TA L 130 − 138 192 − 206 252 − 258 134 199 255 TA R 132 − 144 194 − 210 246 − 270 138 202 258

-   -   -   1.19. In Table 31, the median values of all the general             changes of             of the set of TM_(S) ^(M) that are equivalent to U_(Amin),             U_(Ae) and U_(ANA) of the global locomotor system can be             observed.

TABLE 31 General Change in Trend and Global Physiological Thresholds 1st General 2nd General 3rd General Change (p) Change (p) Change (p) U_(Amin) U_(Ae) U_(Ana) Rango |{tilde over (X)}| 130 − 138 192 − 206 252 − 268 (Watts) 136 201 258 |{tilde over (X)}| (Watts)

2. Analysis and Evaluation of Locomotor Performance Factors A3. Factor Funcional por Inhibición Muscular de la Capacidad Oxidativa

-   -   In Table 9-11 and Table 18-23, the calculated value of |Y|SmO₂         ^(%), |Y|O₂HHb and |Y|ϕO₂HHb, of each TM^(M), in each INT^(TL)         greater than or equal to U_(Amin) can be observed.     -   In Table 32-37, the results of the CSV of |Y|SmO₂ ^(%),         |Y|ϕO₂HHb and |Y|O₂HHb, of each TM^(M) and his TMC^(M), in each         INT^(TL) greater than or equal to U_(Amin) can be observed.     -   In Table 38, can be observed NS^(CSV) equivalent to the value of         CSV.     -   In Table 39, Table 40 and Table 41, the values of         of         |Y|SmO₂ ^(%),         |Y|O₂HHb and         |Y|ϕO₂HHb, between each TM^(M) and his TMC^(M) can be observed.     -   In Table 42, the equivalence of         with the NS^(coef-(p)) of the general trend between each TM^(M)         and his TMC^(M) can be observed.

TABLE 32 CSV of each TM^(M) and hiss TMC^(M) of |Y|SmO₂ ^(%) in each INT^(TL) ≥ U_(Amin) and < U_(Ae) RF RF VL VL ST ST GM GM VI VI GA GA TA TA Watts L R L R L R L R L R L R L R 136 0.22 0.04 0.01 0.01 0.12 0.01 0.13 138 0.22 0.04 0.01 0.01 0.12 0.01 0.13 140 0.22 0.04 0.01 0.01 0.12 0.01 0.13 142 0.23 0.04 0.01 0.00 0.12 0.01 0.13 144 0.23 0.04 0.01 0.00 0.13 0.01 0.13 146 0.24 0.04 0.0 0.00 0.13 0.01 0.12 148 0.24 0.04 0.01 0.00 0.13 0.00 0.12 150 0.24 0.05 0.01 0.00 0.13 0.00 0.12 152 0.25 0.05 0.01 0.00 0.13 0.00 0.12 154 0.25 0.05 0.01 0.00 0.13 0.00 0.12 156 0.25 0.05 0.01 0.00 0.13 0.00 0.11 158 0.26 0.05 0.01 0.00 0.13 0.00 0.11 160 0.26 0.05 0.01 0.00 0.14 0.00 0.11 162 0.26 0.05 0.01 0.00 0.14 0.00 0.11 164 0.26 0.05 0.02 0.00 0.14 0.00 0.11 166 0.27 0.05 0.02 0.00 0.14 0.00 0.11 168 0.27 0.05 0.02 0.00 0.14 0.00 0.10 170 0.27 0.05 0.02 0.00 0.15 0.00 0.10 172 0.27 0.05 0.02 0.01 0.15 0.01 0.10 174 0.27 0.05 0.02 0.01 0.15 0.01 0.10 176 0.28 0.05 0.02 0.01 0.15 0.01 0.10 178 0.28 0.05 0.02 0.01 0.16 0.01 0.10 180 0.28 0.05 0.02 0.01 0.16 0.01 0.10 182 0.28 0.05 0.02 0.01 0.16 0.01 0.10 184 0.28 0.05 0.02 0.01 0.17 0.01 0.10 186 0.28 0.06 0.03 0.01 0.17 0.01 0.10 188 0.28 0.06 0.03 0.01 0.17 0.01 0.10 190 0.28 0.06 0.03 0.01 0.18 0.01 0.11 192 0.28 0.06 0.03 0.01 0.18 0.01 0.11 194 0.28 0.06 0.03 0.01 0.19 0.01 0.11 196 0.28 0.06 0.03 0.01 0.19 0.01 0.11 198 0.28 0.06 0.03 0.01 0.20 0.02 0.11 200 0.28 0.06 0.03 0.01 0.20 0.02 0.12

TABLE 33 CSV of each TM^(M) and hiss TMC^(M) of |Y|SmO₂ ^(%) in each INT^(TL) ≥ U_(Ae) and < U_(Ana) RF RF VL VL ST ST GM GM VI VI GA GA TA TA Watts L R L R L R L R L R L R L R 202 0.28 0.06 0.03 0.01 0.21 0.02 0.12 204 0.28 0.06 0.03 0.01 0.22 0.02 0.12 206 0.28 0.05 0.03 0.01 0.22 0.02 0.12 208 0.28 0.05 0.03 0.01 0.23 0.02 0.13 210 0.27 0.05 0.03 0.01 0.24 0.02 0.13 212 0.27 0.05 0.03 0.01 0.24 0.02 0.13 214 0.27 0.05 0.03 0.01 0.25 0.02 0.14 216 0.27 0.05 0.03 0.01 0.26 0.03 0.14 218 0.27 0.05 0.03 0.01 0.26 0.03 0.14 220 0.27 0.05 0.03 0.01 0.27 0.03 0.15 222 0.27 0.05 0.03 0.01 0.28 0.03 0.15 224 0.27 0.05 0.03 0.01 0.29 0.03 0.15 226 0.27 0.05 0.03 0.01 0.29 0.03 0.16 228 0.27 0.05 0.03 0.01 0.30 0.03 0.16 230 0.27 0.05 0.03 0.01 0.31 0.03 0.16 232 0.27 0.05 0.03 0.01 0.31 0.04 0.17 234 0.27 0.05 0.03 0.01 0.32 0.04 0.17 236 0.27 0.05 0.03 0.01 0.33 0.04 0.17 238 0.27 0.06 0.03 0.01 0.33 0.04 0.17 240 0.27 0.06 0.03 0.01 0.34 0.04 0.18 242 0.27 0.06 0.03 0.01 0.34 0.04 0.18 244 0.27 0.06 0.02 0.01 0.35 0.05 0.18 246 0.28 0.06 0.02 0.01 0.35 0.05 0.18 248 0.28 0.06 0.02 0.01 0.36 0.05 0.18 250 0.28 0.06 0.02 0.01 0.36 0.05 0.18

TABLE 34 CSV of each TM^(M) and hiss TMC^(M) of |Y|O₂HHb in each INT^(TL) ≥ U_(Amin) and < U_(Ae) RF RF VL VL ST ST GM GM VI VI GA GA TA TA Watts L R L R L R L R L R L R L R 136 0.239 0.040 0.000 0.009 0.136 0.035 0.103 138 0.243 0.041 0.000 0.009 0.136 0.035 0.103 140 0.247 0.042 0.001 0.009 0.136 0.034 0.102 142 0.250 0.044 0.001 0.009 0.136 0.033 0.101 144 0.253 0.045 0.002 0.008 0.136 0.033 0.100 146 0.256 0.046 0.003 0.008 0.135 0.032 0.099 148 0.258 0.047 0.004 0.008 0.134 0.031 0.098 150 0.261 0.047 0.005 0.008 0.133 0.030 0.097 152 0.263 0.048 0.006 0.007 0.132 0.029 0.095 154 0.264 0.049 0.007 0.007 0.131 0.028 0.094 156 0.266 0.049 0.008 0.006 0.130 0.027 0.092 158 0.267 0.050 0.009 0.006 0.130 0.026 0.091 160 0.268 0.050 0.011 0.006 0.129 0.025 0.089 162 0.268 0.051 0.012 0.005 0.129 0.024 0.088 164 0.269 0.051 0.013 0.005 0.128 0.024 0.087 166 0.269 0.051 0.014 0.005 0.129 0.023 0.086 168 0.269 0.051 0.016 0.004 0.129 0.022 0.084 170 0.269 0.051 0.017 0.004 0.130 0.022 0.083 172 0.269 0.051 0.018 0.004 0.131 0.021 0.082 174 0.269 0.051 0.019 0.003 0.132 0.020 0.081 176 0.269 0.051 0.020 0.003 0.134 0.020 0.081 178 0.269 0.051 0.021 0.003 0.137 0.020 0.080 180 0.268 0.051 0.022 0.003 0.139 0.019 0.080 182 0.268 0.051 0.023 0.003 0.143 0.019 0.079 184 0.267 0.051 0.024 0.002 0.147 0.019 0.079 186 0.267 0.050 0.025 0.002 0.151 0.019 0.079 188 0.267 0.050 0.025 0.002 0.156 0.020 0.079 190 0.266 0.050 0.026 0.002 0.161 0.020 0.080 192 0.266 0.050 0.026 0.002 0.167 0.020 0.080 194 0.266 0.050 0.027 0.002 0.173 0.021 0.081 196 0.265 0.049 0.027 0.002 0.180 0.022 0.082 198 0.265 0.049 0.027 0.002 0.188 0.023 0.083 200 0.265 0.049 0.027 0.003 0.196 0.024 0.084

TABLE 35 CSV of each TM^(M) and hiss TMC^(M) of |Y|O₂HHb in each INT^(TL) ≥ U_(Ae) and < U_(Ana) RF RF VL VL ST ST GM GM VI VI GA GA TA TA Watts L R L R L R L R L R L R L R 202 0.27 0.05 0.03 0.00 0.20 0.02 0.09 204 0.27 0.05 0.03 0.00 0.21 0.03 0.09 206 0.27 0.05 0.03 0.00 0.22 0.03 0.09 208 0.27 0.05 0.03 0.00 0.23 0.03 0.09 210 0.27 0.05 0.03 0.00 0.24 0.03 0.09 212 0.27 0.05 0.03 0.00 0.25 0.03 0.10 214 0.27 0.05 0.03 0.01 0.26 0.03 0.10 216 0.27 0.05 0.02 0.01 0.28 0.04 0.10 218 0.27 0.05 0.02 0.01 0.29 0.04 0.10 220 0.27 0.05 0.02 0.01 0.30 0.04 0.11 222 0.27 0.05 0.02 0.01 0.31 0.04 0.11 224 0.27 0.05 0.02 0.01 0.32 0.05 0.11 226 0.27 0.05 0.02 0.01 0.33 0.05 0.12 228 0.28 0.05 0.02 0.01 0.34 0.05 0.12 230 0.28 0.05 0.02 0.01 0.35 0.05 0.12 232 0.28 0.05 0.02 0.01 0.36 0.06 0.13 234 0.28 0.05 0.02 0.01 0.37 0.06 0.13 236 0.28 0.05 0.02 0.01 0.38 0.06 0.13 238 0.29 0.05 0.02 0.01 0.39 0.07 0.14 240 0.29 0.05 0.01 0.01 0.39 0.07 0.14 242 0.29 0.06 0.01 0.01 0.40 0.07 0.14 244 0.29 0.06 0.01 0.01 0.40 0.08 0.15 246 0.30 0.06 0.01 0.02 0.40 0.08 0.15 248 0.30 0.06 0.01 0.02 0.40 0.08 0.15 250 0.30 0.06 0.01 0.02 0.40 0.09 0.15

TABLE 36 CSV of each TM^(M) and hiss TMC^(M) of |Y|ϕO₂HHb in each INT^(TL) ≥ U_(Amin) and < U_(Ae) RF RF VL VL ST ST GM GM VI VI GA GA TA TA Watts L R L R L R L R L R L R L R 136 0.237 0.038 0.004 0.003 0.123 0.033 0.102 138 0.241 0.039 0.004 0.003 0.125 0.032 0.102 140 0.245 0.040 0.004 0.004 0.126 0.032 0.101 142 0.248 0.041 0.005 0.004 0.128 0.032 0.100 144 0.251 0.042 0.005 0.005 0.129 0.031 0.099 146 0.254 0.043 0.006 0.005 0.131 0.031 0.098 148 0.257 0.044 0.006 0.006 0.132 0.030 0.097 150 0.259 0.045 0.007 0.006 0.133 0.030 0.096 152 0.261 0.046 0.008 0.007 0.135 0.029 0.095 154 0.263 0.047 0.008 0.007 0.136 0.029 0.093 156 0.265 0.048 0.009 0.008 0.138 0.028 0.092 158 0.266 0.048 0.010 0.008 0.139 0.028 0.091 160 0.268 0.049 0.011 0.009 0.141 0.027 0.090 162 0.269 0.050 0.011 0.009 0.142 0.027 0.089 164 0.269 0.050 0.012 0.009 0.144 0.026 0.087 166 0.270 0.051 0.013 0.010 0.146 0.026 0.086 168 0.271 0.051 0.014 0.010 0.148 0.025 0.086 170 0.271 0.052 0.014 0.010 0.150 0.025 0.085 172 0.271 0.052 0.015 0.010 0.153 0.025 0.084 174 0.272 0.052 0.016 0.010 0.155 0.024 0.084 176 0.272 0.053 0.017 0.010 0.158 0.024 0.083 178 0.272 0.053 0.017 0.010 0.161 0.024 0.083 180 0.272 0.053 0.018 0.010 0.164 0.024 0.083 182 0.272 0.053 0.018 0.010 0.168 0.024 0.083 184 0.272 0.053 0.019 0.010 0.171 0.024 0.083 186 0.272 0.053 0.019 0.010 0.175 0.024 0.083 188 0.272 0.053 0.020 0.009 0.179 0.024 0.083 190 0.271 0.053 0.020 0.009 0.184 0.024 0.084 192 0.271 0.053 0.021 0.009 0.188 0.024 0.085 194 0.271 0.053 0.021 0.008 0.193 0.025 0.085 196 0.271 0.053 0.021 0.008 0.198 0.025 0.086 198 0.271 0.053 0.022 0.008 0.203 0.026 0.088 200 0.271 0.053 0.022 0.007 0.209 0.026 0.089

TABLE 37 CSV of each TM^(M) and hiss TMC^(M) of |Y|ϕO₂HHb in each INT^(TL) ≥ U_(Ae) and < U_(Ana) RF RF VL VL ST ST GM GM VI VI GA GA TA TA Watts L R L R L R L R L R L R L R 202 0.27 0.05 0.02 0.01 0.21 0.03 0.09 204 0.27 0.05 0.02 0.01 0.22 0.03 0.09 206 0.27 0.05 0.02 0.01 0.23 0.03 0.09 208 0.27 0.05 0.02 0.01 0.23 0.03 0.10 210 0.27 0.05 0.02 0.01 0.24 0.03 0.10 212 0.27 0.05 0.02 0.00 0.25 0.03 0.10 214 0.27 0.05 0.02 0.00 0.25 0.03 0.10 216 0.27 0.05 0.02 0.00 0.26 0.04 0.10 218 0.27 0.05 0.02 0.00 0.27 0.04 0.11 220 0.27 0.05 0.02 0.00 0.27 0.04 0.11 222 0.28 0.05 0.02 0.00 0.28 0.04 0.11 224 0.28 0.05 0.02 0.00 0.29 0.04 0.11 226 0.28 0.05 0.02 0.00 0.29 0.05 0.12 228 0.28 0.05 0.02 0.00 0.30 0.05 0.12 230 0.28 0.05 0.02 0.00 0.31 0.05 0.12 232 0.28 0.05 0.02 0.00 0.32 0.05 0.12 234 0.28 0.05 0.02 0.00 0.32 0.06 0.13 236 0.28 0.05 0.02 0.00 0.33 0.06 0.13 238 0.28 0.05 0.02 0.01 0.33 0.06 0.13 240 0.29 0.05 0.02 0.01 0.34 0.07 0.13 242 0.29 0.05 0.02 0.01 0.35 0.07 0.14 244 0.29 0.05 0.02 0.01 0.35 0.07 0.14 246 0.29 0.05 0.02 0.01 0.35 0.08 0.14 248 0.29 0.05 0.02 0.01 0.36 0.08 0.14 250 0.30 0.05 0.02 0.01 0.36 0.08 0.15

TABLE 38 NS^(CSV) equivalent to the values of CSV Symmetry Level CSV (NS^(CSV)) SmO₂ ^(%) O₂HHb-HHb ϕO2HHb-ϕHHb Perfect ≤0.01 ≤0.001 ≤0.01 Optimum >0.01 ≤0.05 >0.001 ≤0.005 >0.01 ≤0.05 Minimal >0.05 ≤0.20 >0.005 ≤0.02 >0.05 ≤0.2 Asymmetry >0.20 >0.02 >0.2

-   -   There is a Functional Factor Limitation due to Muscular         Inhibition of Oxidative Capacity in the Left Rectus Femoris         (RF L) because it meets the established criteria of Factor (A3)         that can be determined:         -   1) In Table 9 and Table 10, the minimum value of |Y|SmO₂             ^(%) of             , is greater than 50% SmO₂ ^(%), in the 100% of INT^(TL)             greater than or equal to U_(Ae) and less than U_(Ana), can             be observed         -   2) In Table 34-37, the CSV of |Y|SmO₂ ^(%), |Y|O₂HHb and             |Y|ϕO₂HHb of             with respect to             is asymmetric, in all INT^(TL) greater than or equal to             U_(Ae) and less than U_(Ana) can be observed.         -   3) In Table 39, Table 40 and Table 41, the general trend             |Y|SmO₂ ^(%),             |Y|O₂HHb and             |Y|ϕO₂HHb is symmetric in the >70% of the TM_(S) ^(M) with             respect their TM_(S)C^(M), in the R-INT^(TL)             (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)) can be observed.

TABLE 39 Values of SmO2^(%) of the R-INT^(TL) (U_(Amin) − U_(Ae)) and (U_(Ae) − U_(Ana)), Coef- 

  and the equivalent symmetry level (NS^(Coef-(p))) U_(Amin) U_(Ae) U_(Ae) U_(Ana) TM SmO₂ ^(%) SmO₂ ^(%) (p) Coef- 

  Symmetry SmO₂ ^(%) SmO₂ ^(%) (p) Coef- 

  Symmetry RF L 72 68 −0.06 −0.018 Min 68 55 −0.26 −0.014 Min RF R 53 46 −0.11 45 37 −0.18 VL L 76 70 −0.10 −0.002 Perf 69 56 −0.28 0.000 Perf VL R 72 64 −0.12 64 51 −0.26 ST L 76 67 −0.13 −0.003 Perf 67 52 −0.32 −0.001 Perf ST R 77 70 −0.10 70 53 −0.35 GM L 90 92 0.02 0.000 Perf 92 88 −0.07 −0.002 Perf GM R 91 93 0.02 93 90 −0.06 VI L 54 43 −0.17 −0.004 Perf 42 31 −0.23 −0.003 Perf VI R 45 32 −0.20 31 19 −0.26 GA L 88 85 −0.04 −0.002 Perf 85 82 −0.06 −0.195 Min GA R 89 87 −0.02 87 89 0.02 TA L 46 44 −0.03 −0.009 Opt 44 35 −0.19 −0.006 Opt TA R 56 52 −0.06 52 45 −0.14 Min: NS Minimum; Opt: NS Optimal; Perf: NS Perfect; (Asi) NS Asymmetric

TABLE 40 Values of O₂HHb of the R-INT^(TL) (U_(Amin) − U_(Ae)) and (U_(Ae) − U_(Ana)), Coef- 

  and the equivalent symmetry level (NS^(Coef-(p))) U_(Amin) U_(Ae) U_(Ae) U_(Ana) TM O₂HHb O₂HHb (p) Coef- 

  Symmetry O₂HHb O₂HHb (p) Coef- 

  Symmetry RF L 9.2 8.7 −0.01 −0.0002 Perf 8.66 7.03 −0.03 −0.0004 Perf RF R 6.6 6.0 −0.01 5.93 4.55 −0.03 VL L 9.1 8.5 −0.01 −0.0001 Perf 8.42 6.57 −0.04 0.0000 Perf VL R 8.6 7.9 −0.01 7.86 6.04 −0.04 ST L 9.2 8.3 −0.01 −0.0012 Min 8.28 6.07 −0.05 −0.0002 Perf ST R 9.2 8.7 −0.01 8.60 6.18 −0.05 GM L 10.9 11.1 0.00 0.0005 Opt 11.12 10.41 −0.01 −0.0007 Opt GM R 11.1 11.2 0.00 11.17 10.67 −0.01 VI L 6.6 5.5 −0.02 −0.0002 Min 5.40 3.91 −0.03 −0.0008 Opt VI R 5.5 4.1 −0.02 4.04 2.19 −0.04 GA L 10.0 10.8 0.01 0.0002 Min 10.79 9.08 −0.04 −0.0050 Asi GA R 10.5 11.2 0.01 11.18 10.26 −0.02 TA L 5.9 5.8 0.00 −0.0014 Min 5.72 4.41 −0.03 −0.0010 Opt TA R 6.8 6.5 0.00 6.46 5.49 −0.02 Min: NS Minimum; Opt: NS Optimal; Perf: NS Perfect; (Asi) NS Asymmetric

TABLE 41 Values of ϕO₂HHb of the R-INT^(TL) (U_(Amin) − U_(Ae)) and (U_(Ae) − U_(Ana)), Coef- 

  and the equivalent symmetry level (NS^(Coef-(p))) U_(Amin) U_(Ae) U_(Ae) U_(Ana) TM ϕO₂HHb ϕO₂HHb (p) Coef- 

  Symmetry ϕO₂HHb ϕO₂HHb (p) Coef- 

  Symmetry RF L 19.2 22.1 0.05 0.010 Opt 22.15 21.03 −0.02 0.00 Opt RF R 13.7 15.0 0.02 15.02 13.77 −0.03 VL L 19.1 21.6 0.04 0.001 Perf 21.62 19.66 −0.04 0.00 Opt VL R 18.1 20.1 0.03 20.05 18.20 −0.04 ST L 19.2 21.1 0.03 0.001 Pef 21.09 18.22 −0.06 0.00 Perf ST R 19.3 21.8 0.04 21.76 18.76 −0.06 GM L 22.7 28.6 0.09 0.000 Perf 28.79 30.82 0.04 0.00 Perf GM R 22.8 28.9 0.09 29.07 31.31 0.05 VI L 13.7 14.1 0.01 −0.043 Asi 14.03 11.57 −0.05 0.00 Perf VI R 11.6 10.5 −0.02 10.34 6.87 −0.07 GA L 20.9 27.5 0.10 0.000 Perf 27.63 27.28 −0.01 0.07 Opt GA R 21.9 28.6 0.10 28.72 30.65 0.04 TA L 12.3 14.6 0.04 0.000 Perf 14.58 13.32 −0.03 −0.02 Perf TA R 14.2 16.5 0.04 16.57 16.39 0.00 Min: NS Minimum; Opt: NS Optimal; Perf: NS Perfect; (Asi) NS Asymmetric

TABLE 42 NS^(Coef-(p)) equivalent to the values Coef- 

  Symemetry Level Coef- 

  (NS^(Coef-(p))) SmO₂ ^(%) O₂HHb − HHb ϕO₂HHb − ϕHHb Perfect ≤0.01 ≤0.001 ≤0.01 Optimum >0.01 ≤0.05 >0.001 ≤0.005 >0.01 ≤0.05 Minimal >0.05 ≤0.15 >0.005 ≤0.015 >0.05 ≤0.15 Asymmetry >0.15 >0.015 >0.15

A.4. Neuromuscular Factor of Oxidative Capacity (Intermuscular Coordination).

-   -   In Table 9-29, the calculated value and minimum value |Y|SmO₂         ^(%), |Y|ϕO₂HHb and |Y|O₂HHb, of all TM_(S) ^(M), in each         INT^(IL) greater than or equal to U_(Amin) can be observed     -   In Table 32-37, the CSV between the value of |Y|SmO₂ ^(%),         |Y|O₂HHb and |Y|ϕO₂HHb, of each TM^(M) and his TMC^(M), in each         INT^(IL) greater than or equal to U_(Amin) and less than U_(Ana)         can be observed.     -   In FIG. 52-100 ,         calculated from |Y|SmO₂ ^(%),         |Y|ϕO₂HHb and         |Y|O₂HHb, of all TM_(S) ^(M), in each INT^(TL) greater than or         equal to U_(Ae) can be observed.     -   In Table 32-37, the values and NS^(Coef-(p)) of         |Y|SmO₂ ^(%),         |Y|ϕO₂HHb and         |Y|O₂HHb, between each TM^(M) and his TMC^(M), in the R-INT^(TL)         (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)) can be observed.     -   The TM_(S) ^(M) (GM L, GM R, GA L and GA R) present a Limitation         of the Neuromuscular Factor of Oxidative Capacity by meeting the         criteria of Factor (A.4) that can be established:     -   1) In Table 9 and 10, the calculated values of |Y|SmO₂ ^(%) of (         and         R) are ≥65% SmO₂ ^(%), in each INT^(TL) greater than or equal to         U_(Amin) and less than U_(Ana) can be observed.     -   2) In Table 32-37, the general trend of         |Y|SmO₂ ^(%),         |Y|ϕO₂HHb and         |Y|O₂HHb, of each TM^(M) and his TMC^(M) is symmetrically         optimal, in more than 70% of TM_(S) ^(M) and their TM_(S)C^(M),         in the R-INT^(TL) (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)) can be         observed.     -   3) In Table 9-11 and Table 18-23, the calculated values of Y         SmO₂ ^(%), |Y|ϕO₂HHb and |Y|O₂HHb of (         and         R) are greater than the values of |Y|SmO₂ ^(%), |Y|ϕO₂HHb and         |Y|O₂HHb, of the other TM_(S) ^(M), in all INT^(TL) greater than         or equal to U_(Amin) can be observed.     -   4) In Table 9-11, the calculated values of |Y|SmO₂ ^(%) of the         TM_(S) ^(M), in more than 60% of the TM_(S) ^(M) (         ), present values ≤45% SmO₂ ^(%), in at least one INT^(TL)         greater than or equal to U_(Ae) can be observed.

B2.1. Performance Factor of Analytical Delivery of Blood Flow During Exercise

-   -   In Table 9-11 and Table 18-23, the calculated values of |Y|SmO₂         ^(%), |Y|O₂HHb and |Y|ϕO₂HHb of each TM^(M), in each INT^(TL)         greater than or equal to U_(Amin) can be observed.     -   In Table 9-11 and Table 18-23, the calculated values of SmO₂         ^(%), O₂HHb and ϕO₂HHb, of the Upper Limit of the Optimal Zone |         |         , in each INT^(TL) greater than or equal to U_(Amin) can be         observed.     -   In Table 9-11 and Table 18-23, the calculated values of SmO₂         ^(%), O₂HHb and ϕO₂HHb, of the Lower Limit of the Optimal Zone |         |         , in each INT^(TL) greater than or equal to U_(Amin) can be         observed.     -   In Table 43, the type of Analytical Muscular Blood Flow         Composition of each TM^(M), established from the criteria of         Factor (B2.1) can be observed.     -   In Table 43, the type of Hemoglobin Delivery Volume of each         TM^(M), established from the criteria of Factor (B2.2) can be         observed.     -   In Table 43, the type of Blood Flow Delivery Rate of each         TM^(M), established from the criteria of Factor (B2.3) can be         observed.

TABLE 43 Type of Performance of each TM^(M) of factors (B2.1), (B2.2) and (B2.3), in each R-INT^(TL). Flow Delivery TM Rank intensity Composition Volume Delivery rate RF L U_(Amin) − U_(Ae) Optimal Optimal Optimal U_(Ae) − U_(Ana) >U_(Ana) RF R U_(Amin) − U_(Ae) Lesser Lesser Lesser U_(Ae) − U_(Ana) >U_(Ana) VL L U_(Amin) − U_(Ae) Optimal Optimal Optimal U_(Ae) − U_(Ana) >U_(Ana) VL R U_(Amin) − U_(Ae) Optimal Optimal Optimal U_(Ae) − U_(Ana) >U_(Ana) ST L U_(Amin) − U_(Ae) Optimal Optimal Optimal U_(Ae) − U_(Ana) >U_(Ana) ST R U_(Amin) − U_(Ae) Optimal Optimal Optimal U_(Ae) − U_(Ana) >U_(Ana) GM L U_(Amin) − U_(Ae) Excessive Lesser Lesser U_(Ae) − U_(Ana) >U_(Ana) GM R U_(Amin) − U_(Ae) Excessive Lesser Lesser U_(Ae) − U_(Ana) >U_(Ana) VI L U_(Amin) − U_(Ae) Lesser Lesser Lesser U_(Ae) − U_(Ana) >U_(Ana) VI R U_(Amin) − U_(Ae) Lesser Lesser Lesser >U_(Ana) U_(Ae) − U_(Ana) Inefficient GAL U_(Amin) − U_(Ae) Excessive Lesser Lesser >U_(Ana) U_(Ae) − U_(Ana) Higher GA R U_(Amin) − U_(Ae) Excessive Lesser Lesser U_(Ae) − U_(Ana) >U_(Ana) TA L U_(Amin) − U_(Ae) Lesser Lesser Lesser U_(Ae) − U_(Ana) >U_(Ana) TA R U_(Amin) − U_(Ae) Lesser Lesser Lesser >U_(Ana) U_(Ae) − U_(Ana) Optimal Optimal Optimal

B2.2. Functional Sympatholysis Factor of Blood Flow Redistribution

-   -   In Table 44-46, the maximum values of SmO₂ ^(%), O₂HHb and         ϕO₂HHb of each M^(M), in each of the rest intervals (ID)         performed can be observed.     -   In Table 47, the highest level of symmetry (NS^(CSV)) calculated         between the combination of >70% of the maximum values of SmO₂         ^(%), O₂HHb and ϕO₂HHb, of each ID after a work interval (IT) of         average INT^(TL) greater than or equal to U_(Amin) can be         observed.

TABLE 44 Maximum values of SmO₂ ^(%), in each ID of each TMM RF RF VL VL ST ST GM GM VI VI GA GA TA TA ID L R L R L R L R L R L R L R 01 76 78 83 79 83 87 89 94 69 71 80 87 56 59 02 83 69 82 81 82 86 90 89 66 71 86 87 68 64 03 85 62 83 79 82 86 91 89 67 74 89 91 59 65 04 81 64 84 78 83 81 90 90 67 71 89 91 79 65 05 79 61 86 82 85 83 92 92 72 69 92 92 67 62 06 85 61 85 82 86 85 93 93 74 70 92 92 63 64 07 87 81 89 88 90 87 94 95 81 81 92 93 80 74 08 87 76 89 88 90 87 94 95 82 79 93 93 72 73 09 85 84 87 85 89 89 94 95 78 73 93 92 71 79 10 88 81 87 84 88 87 94 95 75 77 93 92 70 78 11 85 66 86 83 87 86 94 94 74 75 92 92 64 71 12 83 61 84 83 85 85 94 94 78 74 92 92 61 70 13 81 69 84 81 84 83 93 94 79 75 92 92 63 65 14 80 67 86 82 83 82 92 93 84 79 92 92 61 66 15 76 57 86 83 79 77 92 92 84 78 90 90 55 60

TABLE 45 Maximum values of O₂HHb, in each ID of each TM^(M) RF RF VL VL ST ST GM GM VI VI GA GA TA TA ID L R L R L R L R L R L R L R 01 9.7 9.8 10.3 9.7 10.2 11.0 10.6 11.2 8.8 9.0 9.5 10.7 7.3 7.4 02 10.7 8.6 10.1 9.9 10.1 10.8 11.0 11.1 8.4 8.9 10.4 10.8 8.8 8.1 03 11.0 7.8 10.3 9.7 10.1 10.8 11.2 11.3 8.5 9.1 10.8 11.5 7.6 8.2 04 10.4 8.0 10.4 9.6 10.3 10.0 11.1 11.3 8.5 8.7 10.8 11.5 10.2 8.1 05 10.2 7.7 10.7 10.1 10.6 10.2 11.4 11.6 9.2 8.6 11.3 11.7 8.6 7.8 06 11.1 7.7 10.6 10.1 10.7 10.5 11.6 11.9 9.4 8.7 11.2 11.7 8.1 8.0 07 11.3 10.2 11.2 11.0 11.4 10.7 11.8 11.9 10.2 10.2 11.3 11.8 10.4 9.3 08 11.3 9.6 11.1 11.0 11.3 10.8 11.5 11.8 10.4 10.0 11.4 11.8 9.3 9.1 09 11.0 10.7 10.8 10.5 11.2 11.0 11.6 11.7 9.9 9.0 11.4 11.7 9.1 9.9 10 11.5 10.2 10.8 10.4 11.1 10.7 11.6 11.7 9.5 9.5 11.4 11.7 9.0 9.8 11 11.0 8.3 10.6 10.2 10.9 10.6 11.6 11.6 9.4 9.2 11.3 11.7 8.2 8.8 12 10.7 7.7 10.4 10.2 10.6 10.5 11.5 11.6 10.0 9.2 11.3 11.7 7.9 8.7 13 10.5 8.7 10.4 10.0 10.4 10.2 11.4 11.6 10.2 9.3 11.3 11.7 8.1 8.1 14 10.3 8.4 10.8 10.2 10.3 10.0 11.3 11.5 10.9 9.9 11.3 11.6 7.8 8.2 15 9.8 7.2 10.7 10.4 9.7 9.5 11.2 11.3 10.8 9.8 10.9 11.4 7.1 7.5

TABLE 46 Maximum values of ϕO₂HHb, in each ID of each TM^(M) RF RF VL VL ST ST GM GM VI VI GA GA TA TA ID L R L R L R L R L R L R L R 01 18.4 16.9 20.1 19.1 19.1 21.6 20.8 22.1 17.0 16.4 18.6 21.3 13.7 13.7 02 20.4 16.5 20.6 20.2 20.4 22.1 23.4 24.3 16.9 18.4 20.5 23.1 17.8 16.5 03 21.0 15.9 21.2 19.9 20.5 20.9 23.6 23.9 17.0 18.6 22.9 24.4 14.0 14.4 04 21.6 14.8 21.7 20.3 20.8 19.9 24.3 25.0 17.4 16.5 23.1 24.9 18.9 16.4 05 21.0 15.4 21.0 20.1 20.5 20.5 24.0 24.8 17.5 16.5 23.2 24.4 15.2 15.5 06 21.8 14.6 21.4 20.6 21.0 20.9 24.6 25.6 17.8 16.7 23.8 25.4 15.7 17.3 07 22.0 17.3 22.6 21.1 21.5 20.2 25.3 26.1 18.5 19.1 24.1 25.7 19.5 17.6 08 20.9 17.7 20.8 20.4 20.9 20.9 23.3 23.7 16.6 16.7 22.5 23.2 16.1 18.3 09 21.2 19.1 21.7 21.3 21.6 21.5 24.4 24.6 17.2 16.3 23.5 24.6 16.3 17.8 10 22.2 19.6 23.1 22.2 22.9 22.2 26.1 26.5 20.2 20.2 24.7 26.0 17.3 18.5 11 22.2 16.7 24.2 22.9 22.6 22.9 27.5 27.9 20.6 20.0 26.3 27.8 15.3 16.9 12 24.3 16.9 24.8 23.1 22.6 22.8 29.5 29.6 22.5 18.9 28.0 29.8 16.9 19.8 13 23.4 18.8 26.9 24.6 23.3 23.9 31.0 31.5 25.1 20.7 29.2 31.8 16.8 18.1 14 23.7 18.1 28.5 26.3 23.2 23.7 31.6 32.1 28.0 22.9 30.0 32.2 16.9 18.9 15 22.8 17.4 28.2 28.7 22.1 22.1 31.6 32.6 27.1 24.6 28.9 31.5 16.6 18.4

-   -   In Table 47, the CSV values of the 100% of TM_(S) ^(M) and 71%         of TM_(S) ^(M) with higher NS^(CSV), in addition to the type of         performance of Factor (B2.2) that the cardiovascular system         performs in each IT can be observed.

TABLE 47 CSV and Performance of Factor B2.2 in each IT Type of CSV with 100% TM^(M) CSV with 71% TM^(M)   Sympatholytic ID   SmO2   O2HHb   O2HHb   SmO2   O2HHb   O2HHb Performance 02 0.12 0.11 0.13 0.06 0.06 0.08 Asymmetric 03 0.14 0.14 0.17 0.07 0.07 0.09 Asymmetric 04 0.12 0.12 0.16 0.08 0.08 0.12 Asymmetric 05 0.14 0.14 0.17 0.09 0.09 0.12 Asymmetric 06 0.15 0.14 0.18 0.08 0.09 0.12 Asymmetric 07 0.07 0.07 0.14 0.05 0.05 0.11 Asymmetric 10 0.09 0.09 0.13 0.06 0.06 0.09 Asymmetric 11 0.13 0.12 0.19 0.07 0.07 0.11 Asymmetric 12 0.14 0.13 0.19 0.07 0.07 0.15 Asymmetric 13 0.13 0.12 0.20 0.07 0.07 0.15 Asymmetric 14 0.13 0.12 0.20 0.07 0.06 0.14 Asymmetric 15 0.16 0.15 0.21 0.08 0.07 0.15 Asymmetric

B2.3. Evolution Factor of Analytical Cardiovascular Performance

-   -   In Table 44-46, the calculated maximum value of SmO₂ ^(%) in         each ID, of each TM^(M) can be observed.     -   In Table 48, the difference calculated between the maximum         values of SmO₂ ^(%), between the successive ID, of each TM^(M)         can be observed.     -   In Table 48, the type of Evolution of Delivery of Oxygen-Loaded         Blood established in each TM^(M) analyzed, between each of the         successive rest intervals based on the criteria established by         Factor (B2.3) can be observed:

TABLE 48 Difference of SmO₂ ^(%) of each TM^(M) between ID REST INTERVAL ID 1-2 2-3 3-4 4-5 5-6 6-7 7-8 8-9 9-10 10-11 11-12 12-13 13-14 14-15 RF L −7 −2 4 2 −6 −2 0 2 −3 3 2 2 1 4 DS M AL M DS M M M DL AL M M M AL RF R 9 7 −2 3 0 −20 5 −8 3 15 5 −8 2 10 AS AS M AL M DS AL DS AL AS AL DS M AS VL L 1 −1 −1 −2 1 −4 0 2 0 1 2 0 −2 1 M M M M M DL M M M M M M M M VL R −2 2 1 −4 0 −6 0 3 1 2 −1 2 −1 −1 M M M DL M DS M AL M M M M M M ST L 1 0 −1 −2 −1 −4 0 1 1 1 2 1 1 4 M M M M M DL M M M M M M M AL ST R 1 0 5 −2 −2 −2 0 −2 2 1 1 2 1 5 M M AL M M M M M M M M M M AL GM L −1 −1 1 −2 −1 −1 0 0 0 0 0 1 1 0 M M M M M M M M M M M M M M GM R 5 0 −1 −2 −1 −2 0 0 0 1 0 0 1 1 AL M M M M M M M M M M M M M VI L 3 −1 0 −5 −2 −7 −1 4 3 1 −4 −1 −5 0 AL M M DL M DS M AL AL M DL M DL M VI R 0 −3 3 2 −1 −11 2 6 −4 2 1 −1 −4 1 M DL AL M M DS M AS DL M M M DL M GA L −6 −3 0 −3 0 0 −1 0 0 1 0 0 0 2 DS DL M DL M M M M M M M M M M GA R 0 −4 0 −1 0 −1 0 1 0 0 0 0 0 2 M DL M M M M M M M M M M M M TA L −12 9 −20 13 4 −17 8 1 1 6 3 −2 2 6 DS AS DS AS AL DS AS M M AS AL M M AS TA R −5 −1 0 3 −2 −10 1 −6 1 7 1 5 −1 6 DL M M AL M DS M DS M AS M AL M AS (AS) Significant increase; (AL) Slight Increase; (DL) Slight Decrease; (DS) Significant decrease; (M) Maintenance

B2.4. Muscle Blood Flow Pump Factor—Venous Return

-   -   In Table 49, the calculated values of |Y|ThB, in each of the         Thresholds and in the maximum intensity recorded, of each TM^(M)         can be observed.     -   In Table 49, the values of         ThB of each TM^(M), between in the R-INT^(TL) (U_(Ae)−U_(Ana))         and (U_(Ae)−U_(Ana)−Int_(Max)) can be observed.     -   In Table 49 and Table 11, the minimum calculated values of SmO₂         ^(%) of each TM^(M) can be observed.     -   In Table 49, the TM^(M) that present a Limitation in the         Performance Factor of the Muscle Pumping Factor for Venous         Return by meeting the criteria of the Factor (B2.4) that can be         observed:         -   The general trend of             ThB of TM^(M) is [             >0.0005] in one of the two R-INT^(TL)(U_(Ae)−U_(Ana)) and/or             (U_(Ae)−U_(Ana)−Int_(Max)).         -   The values of SmO₂ ^(%) of the TM^(M) analyzed decrease to             values <50% SmO₂ ^(%) during R-INT^(TL) greater than or             equal to U_(Ae)

TABLE 49 Values of ThB in each Threshold and of each TM^(M),  

  between each threshold and the minimum value of SmO₂ ^(%) Rank  

  ThB Min U_(Ae) U_(Ana) Int_(Work) U_(Ae) − U_(Ana) >U_(Ana) |{tilde over (Y)}|SmO₂ ^(%) Factor B2.4 RF L 12.81 12.76 12.77 −0.0009 0.0003 40 RF R 12.72 12.77 12.94 0.0008* 0.0035* 20 Limitation in >U_(Ae) VL L 12.01 12.01 12.04 0.0000 0.0007* 46 Limitation in >U_(Ana) VL R 12.07 12.04 12.15 −0.0007 0.0022* 38 Limitation in >U_(Ana) ST L 12.10 12.06 12.23 −0.0008 0.0035* 33 Limitation in >U_(Ana) ST R 11.96 12.03 12.11 0.0014* 0.0017* 38 Limitation in >U_(Ae) GM L 12.14 11.85 11.70 −0.0057 −0.0031 79 GM R 12.13 11.85 11.75 −0.0057 −0.0020 84 VI L 12.66 12.72 12.75 0.0011* 0.0006* 28 Limitation in >U_(Ae) VI R 12.60 12.67 12.70 0.0015* 0.0006* 16 Limitation in >U_(Ae) GA L 11.93 11.71 11.55 −0.0044 −0.0033 55 GA R 12.27 12.08 11.67 −0.0040 −0.0082 79 TA L 12.91 12.95 12.98 0.0008* 0.0006* 26 Limitation in >U_(Ae) TA R 12.43 12.47 12.53 0.0009* 0.0012* 38 Limitation in >U_(Ae)

B3. Neurovascular System B3.1. Neuromuscular Activation Factor (Intermuscular Coordination)

-   -   In Table 50, the calculated median values of de |{tilde over         (Y)}|SmO₂ ^(%), |{tilde over (Y)}|O₂HHb, |{tilde over         (Y)}|ϕO₂HHb, of each TM^(M), in each R-INT^(TL) can be observed.     -   In Table 9-11 and Table 18-23, the median calculated values of         |{tilde over (Y)}|SmO₂ ^(%), |{tilde over (Y)}|O₂HHb, |{tilde         over (Y)}|ϕO₂HHb, of the Upper Limit of the Optimal Zone (|         |         ) and the Lower Limit of the Optimal Zone (|         |         ) can be observed.     -   In Table 50, the Type of Neuromuscular Activation Factor         performed by each TM^(M), in each R-INT^(TL), based on the         criteria established in Factor (B3.1) can be observed:

TABLE 50 Values of |{tilde over (Y)}|SmO₂ ^(%), |{tilde over (Y)}|O₂HHb, |{tilde over (Y)}|ϕO₂HHb, of each TM^(M), in each R-INT^(TL) and the performance of Factor (B3.1) Range Activation Activation Activation U_(Amin) − U_(Ae) Level U_(Ae) − U_(Ana) Level >U_(Ana) Level |{tilde over (Y)}| |{tilde over (Y)}| |{tilde over (Y)}| Factor |{tilde over (Y)}| |{tilde over (Y)}| |{tilde over (Y)}| Factor |{tilde over (Y)}| |{tilde over (Y)}| |{tilde over (Y)}| Factor TM^(M) SmO₂ ^(%) O₂HHb ϕO₂HHb B3.1 SmO₂ ^(%) O₂HHb ϕO₂HHb B3.1 SmO₂ ^(%) O₂HHb ϕO₂HHb B3.1 RF L 71 9.0 20.9 Opt 62 7.9 21.9 Opt 49 6.2 19.4 Opt RF R 48 6.1 14.2 D 42 5.4 14.7 D 29 3.8 11.9 A VL L 74 9.0 20.7 Opt 63 7.5 21.0 Opt 50 6.0 18.4 Opt VL R 69 8.3 19.2 Opt 58 7.0 19.5 Opt 44 5.4 16.6 Opt ST L 73 8.9 20.6 Opt 60 7.3 20.1 Opt 20 5.1 16.0 Opt ST R 75 9.1 21.0 Opt 63 7.5 20.7 Opt 44 5.4 16.7 Opt GM L 91 11.1 25.7 Exc 91 10.8 30.1 Exc 84 10.0 30.8 Exc GM R 92 11.2 26.1 Exc 92 10.9 30.3 Exc 87 10.3 31.8 Exc VI L 48 6.1 14.1 37 4.6 12.9 D 28 3.6 11.3 D VI R 39 5.1 11.4 Ex 24 2.9 8.4 Ex 17 2.3  6.8 Ex GA L 87 10.6 24.3 N 85 10.1 28.0 N 72 8.4 25.6 Men GA R 88 10.9 25.2 N 89 10.8 30.1 N 83 10.1 30.8 N TA L 46 5.9 13.7 A 39 5.1 14.0 D 32 4.2 12.9 D TA R 53 6.7 15.5 D 49 6.0 16.6 D 41 5.2 16.1 Opt Optimal Zone Limits | 

 | 81 10.0 23.1 72 8.6 23.9 56 6.7 20.6 | 

 | 63 7.9 18.2 50 6.1 16.9 33 4.1 12.7

B.3.2. Neurovascular Structural Factor (Speed and Power of Muscle Contraction)

-   -   In Table 51, the median values and standard deviation (σ) of ThB         of (         and         ), in each work interval (IT) can be observed.     -   In Table 51, the minimum value of ThB of (         and         ), in each of the rest intervals (ID), the average work         intensity, the average pedalling cadence and the average HR of         the previous IT can be observed.     -   In Table 51, the calculation of the [(         )−(σ)], of each IT can be observed.     -   There is a Limitation in the Neurovascular Structural Factor of         the (         and         ) during each of the work intervals, of average intensity         greater than or equal to U_(Amin), followed by one ID, when         complying the criteria established for Factor (B3.2) that can be         observed

TABLE 51 Analysis values for Performance of Factor (B3.2) RF R VI R TA L ThB ThB ThB POWER CADENCE HR Intensity Interval (g/dL) σ (g/dL) σ (g/dL) σ Watts Rpm ppm range T 02 |{tilde over (Y)}|ThB 12.68 0.073 12.60 0.035 12.97 0.040 148 34 127 >U_(Amin) |{tilde over (Y)}| − σ 12.61 12.65 12.93 <U_(Ae) D 02 ThB_(min) 12.57 12.44 12.85 T 03 |{tilde over (Y)}|ThB 12.60 0.030 12.50 0.016 12.93 0.023 150 66 122 >U_(Amin) |{tilde over (Y)}| − σ 12.57 12.57 12.85 <U_(AE) D 03 ThB_(min) 12.59 12.18 12.85 T 04 |{tilde over (Y)}|ThB 12.67 0.043 12.58 0.015 12.93 0.028 148 84 126 >U_(Amin) |{tilde over (Y)}| − σ 12.63 12.60 12.90 <U_(Ae) D 04 ThB_(min) 12.58 12.07 12.83 T 05 |{tilde over (Y)}|ThB 12.64 0.023 12.58 0.013 12.92 0.027 148 73 124 >U_(Amin) |{tilde over (Y)}| − σ 12.61 12.62 12.89 <U_(Ae) D 05 ThB_(min) 12.57 12.32 12.83 T 06 |{tilde over (Y)}|ThB 12.67 0.034 12.54 0.016 12.89 0.021 149 82 127 >U_(Amin) |{tilde over (Y)}| − σ 12.64 12.60 12.86 <U_(Ae) D 06 ThB_(min) 12.59 12.28 12.84 T 07 |{tilde over (Y)}|ThB 12.64 0.037 12.56 0.015 12.90 0.019 149 78 126 >U_(Amin) |{tilde over (Y)}| − σ 12.60 12.61 12.88 <U_(Ae) D 07 ThB_(min) 12.49 12.20 12.80 T 10 |{tilde over (Y)}|ThB 12.64 0.031 12.61 0.017 12.92 0.025 148 78 131 >U_(Amin) |{tilde over (Y)}| − σ 12.61 12.48 12.89 <U_(Ae) D 10 ThB_(min) 12.54 12.14 12.85 T 11 |{tilde over (Y)}|ThB 12.68 0.038 12.66 0.014 12.93 0.024 173 77 137 >U_(Amin) |{tilde over (Y)}| − σ 12.64 12.51 12.90 <U_(Ae) D 11 ThB_(min) 12.60 12.14 12.86 T 12 |{tilde over (Y)}|ThB 12.69 0.040 12.68 0.030 12.92 0.018 195 77 148 >U_(Ae) |{tilde over (Y)}| − σ 12.65 12.53 12.90 <U_(Ana) D 12 ThB_(min) 12.62 12.28 12.83 T 13 |{tilde over (Y)}|ThB 12.74 0.053 12.68 0.016 12.92 0.026 212 78 159 >U_(Ae) |{tilde over (Y)}| − σ 12.69 12.64 12.89 <U_(Ana) D 13 ThB_(min) 12.63 12.31 12.85 T 14 |{tilde over (Y)}|ThB 12.78 0.053 12.71 0.021 12.95 0.032 245 79 169 >U_(Ana) |{tilde over (Y)}| − σ 12.73 12.64 12.92 D 14 ThB_(min) 12.64 12.25 12.86 T 15 |{tilde over (Y)}|ThB 12.81 0.037 12.73 0.024 12.94 0.024 268 79 179 >U_(Ana) |{tilde over (Y)}| − σ 12.77 12.66 12.92 D 15 ThB_(min) 12.68 12.28 12.88

B3.3. Optimal Muscle Contraction Speed

-   -   In Table 52, the median values of SmO₂ ^(%), O₂HHb, ϕO₂HHb, HHb         and ϕHHb of each TM^(M), in each muscle contraction frequency         range (R-FCM), in the R-INT^(TL) of 140-160 w can be observed.     -   In Table 52, the difference in the median value of SmO₂ ^(%),         O₂HHb, ϕO₂HHb, HHb and ϕHHb of each TM^(M), of each R-FCM, with         respect to the highest value of SmO₂ ^(%), O₂HHb, ϕO₂HHb, HHb         and ϕHHb, of all R-FCM can be observed.     -   In Table 52, the difference in the median value of HHb and ϕHHb         of each TM^(M), of each R-FCM, with respect to the lowest value         of HHb and ϕHHb, of all R-FCM can be observed.     -   The following R-FCM are optimal because meeting the criteria         established for Factor (B3.3) that can be established:         -   R-FCM Optimal: 79-80 Rpm         -   R-FCM Optimal: 81-82 Rpm

TABLE 52 Median value of SmO₂ ^(%), O₂HHb, ϕO₂HHb, HHb and ϕHHb, of each R-FCM, of each TM^(M), in the R-INT^(TL) of 140-160 w. Rango RF RF VL VL SM SM GM GM VI VI GA GA TA TA FCM L R L R I D L R L R L R L R SmO₂ ^(%) 71-72 72 50 73 70 70 77 88 88 51 44 84 85 48 52 −1.5 −3.0 −4.0 −2.0 −7.0 0.0 −4.0 −6.0 −1.0 0.0 −5.0 −5.0 −1.0 −4.0 73-74 72 51 74 70 74 76 89 90 50 44 87 88 48 54 −1.5 −2.0 −3.0 −2.0 −3.0 −1.0 −3.0 −4.0 −2.0 0.0 −2.0 −2.0 −1.0 −2.0 75-76 72 52 74 70 75 75 89 90 51 44 88 88 47 54 −1.0 −1.5 −3.0 −2.0 −2.0 −1.8 −3.0 −4.0 −1.0 0.0 −1.0 −2.0 −2.0 −1.8 77-78 72 52 74 71 75 76 89 90 50 44 88 89 48 56 −1.0 −1.0 −3.0 −1.0 −2.0 −1.0 −3.0 −4.0 −2.0 0.0 −1.0 −1.0 −1.0 0.0 79-80 73 53 76 72 77 76 91 93 52 43 88 90 47 56 0.0 0.0 −1.0 0.0 0.0 −1.0 −1.0 −1.0 0.0 −1.0 −1.0 0.0 −1.8 0.0 81-82 72 52 77 72 77 77 92 94 51 43 88 90 48 56 −1.0 −1.0 0.0 0.0 0.0 0.0 0.0 0.0 −1.0 −1.0 −1.0 0.0 −1.5 0.0 83-84 72 50 74 71 76 75 90 91 49 43 88 89 48 55 −1.0 −3.5 −3.0 −1.5 −1.0 −2.5 −2.0 −3.0 −3.0 −1.0 −1.0 −1.0 −1.0 −1.0 85-86 72 49 74 70 77 74 90 91 50 43 89 89 49 55 −1.0 −4.0 −3.0 −2.0 −0.5 −3.0 −2.0 −3.0 −2.5 −1.0 0.0 −1.0 0.0 −1.3 87-88 72 48 74 70 73 73 88 90 50 43 86 88 48 54 −1.0 −5.5 −3.5 −2.0 −4.0 −4.0 −4.0 −4.5 −2.0 −1.5 −3.0 −2.0 −1.0 −2.0 89-90 71 48 73 68 72 72 −4.0 89 49 41 84 86 47 54 −2.5 −5.0 −4.0 −4.0 −5.0 −5.0 88 −5.0 −3.0 −3.0 −5.0 −4.0 −2.5 −2.0 91-92 71 49 73 68 72 72 88 89 49 42 84 36 45 53 −2.0 −4.0 −4.0 −4.0 −5.0 −5.0 −4.0 −5.0 −3.0 −2.0 −5.5 −4.0 −3.8 −3.0 93-94 71 50 72 67 71 73 88 88 50 44 82 84 47 53 −2.0 −3.0 −5.0 −5.0 −6.0 −4.0 −4.0 −6.0 −2.0 0.0 −7.0 −6.0 −2.5 −3.0 95-96 69 49 69 66 67 77 85 88 50 44 71 82 45 51 −4.0 −4.0 −8.0 −6.0 −10 0.0 −7.0 −6.0 −2.0 0.0 −18 −8.0 −3.8 −5.0 O₂HHb 71-72 9.2 6.0 8.8 8.5 8.5 9.2 10.7 10.8 6.4 5.0 9.9 10.2 6.2 6.5 −0.2 −0.7 −0.4 −0.3 −0.9 −0.1 −0.5 −0.6 −0.1 −0.6 −0.7 −0.8 −0.1 −0.5 73-74 9.2 6.1 9.0 8.5 9.0 9.2 10.9 11.1 6.3 5.6 10.3 10.7 6.2 6.7 −0.2 −0.6 −0.3 −0.3 −0.4 −0.1 −0.3 −0.4 −0.2 0.0 −0.3 −0.4 −0.1 −0.2 75-76 9.2 6.5 9.0 8.5 9.1 9.1 10.9 11.1 6.4 5.5 10.5 10.8 6.1 6.8 −0.1 −0.2 −0.3 −0.2 −0.3 −0.2 −0.3 −0.4 −0.1 0.0 −0.1 −0.3 −0.2 −0.2 77-78 9.2 6.6 9.0 8.6 9.2 9.1 10.9 11.2 6.3 5.6 10.5 10.9 6.2 6.9 −0.1 −0.1 −0.3 −0.1 −0.3 −0.1 −0.3 −0.3 −0.2 0.0 −0.1 −0.1 −0.1 0.0 79-80 9.4 6.7 9.2 8.7 9.4 9.2 11.1 11.4 6.5 5.4 10.5 11.1 6.1 6.9 0.0 0.0 −0.1 0.0 0.0 −0.1 −0.1 0.0 0.0 −0.2 −0.1 0.0 −0.2 0.0 81-82 9.3 6.6 9.3 8.7 9.4 9.3 11.2 11.4 6.4 5.3 10.5 11.1 6.1 6.9 −0.1 −0.1 0.0 0.0 0.0 0.0 0.0 0.0 −0.1 −0.3 −0.1 0.0 −0.2 0.0 83-84 9.2 6.3 9.0 8.5 9.3 9.0 11.0 11.3 6.2 5.4 10.5 10.9 6.2 6.8 −0.1 −0.4 −0.3 −0.2 −0.1 −0.3 −0.2 −0.2 −0.4 −0.1 −0.1 −0.1 −0.1 −0.1 85-86 9.2 6.2 8.9 8.5 9.3 8.9 11.0 11.2 6.2 5.4 10.6 10.9 6.3 6.8 −0.1 −0.5 −0.3 −0.3 −0.1 −0.4 −0.2 −0.2 −0.3 −0.1 0.0 −0.1 0.0 −0.1 87-88 9.2 6.0 8.9 8.5 8.9 8.7 10.7 11.0 6.3 5.4 10.2 10.7 6.2 6.7 −0.1 −0.7 −0.4 −0.3 −0.6 −0.5 −0.5 −0.4 −0.3 −0.2 −0.4 −0.3 −0.1 −0.2 89-90 9.0 6.1 8.8 8.2 8.7 8.7 10.7 10.9 6.2 5.2 9.9 10.4 6.0 6.7 −0.3 −0.6 −0.4 −0.5 −0.7 −0.6 −0.5 −0.5 −0.4 −0.4 −0.7 −0.6 −0.3 −0.2 91-92 9.1 6.2 8.9 8.2 8.7 8.7 10.7 10.9 6.2 5.3 9.8 10.4 5.9 6.6 −0.3 −0.5 −0.4 −0.5 −0.7 −0.6 −0.5 −0.5 −0.4 −0.3 −0.8 −0.7 −0.5 −0.3 93-94 9.1 6.3 8.7 8.1 8.6 8.8 10.7 10.7 6.3 5.0 9.6 10.1 6.0 6.6 −0.3 −0.4 −0.6 −0.6 −0.8 −0.5 −0.5 −0.7 −0.2 −0.6 −1.0 −1.0 −0.3 −0.3 95-96 8.8 6.2 8.4 8.0 8.1 8.7 10.3 10.7 6.3 5.0 8.3 9.8 5.9 6.4 −0.5 −0.5 −0.9 −0.8 −1.3 −0.6 −0.9 −0.7 −0.2 −0.6 −2.3 −1.3 −0.5 −0.6 HHb 71-72 3.7 6.2 3.3 3.6 3.6 2.8 1.5 1.5 6.1 7.1 1.9 1.8 6.7 6.0 0.2 0.3 0.5 0.2 0.8 0.0 0.5 0.7 0.1 0.0 0.6 0.6 0.1 0.5 73-74 3.7 6.1 3.2 3.6 3.2 2.9 1.3 1.2 6.3 7.1 1.5 1.5 6.7 5.7 0.2 0.2 0.4 0.2 0.4 0.1 0.4 0.5 0.2 0.0 0.2 0.2 0.1 0.3 75-76 3.6 6.1 3.2 3.6 3.0 3.0 1.3 1.2 6.2 7.1 1.4 1.5 6.9 5.7 0.1 0.2 0.4 0.2 0.2 0.2 0.4 0.5 0.1 0.0 0.1 0.2 0.3 0.2 77-78 3.6 6.1 3.2 3.5 3.0 2.9 1.3 1.2 6.3 7.1 1.4 1.4 6.7 5.5 0.1 0.1 0.4 0.1 0.2 0.1 0.4 0.5 0.2 0.0 0.1 0.1 0.1 0.0 79-80 3.5 5.9 2.9 3.4 2.8 2.9 1.1 0.9 6.1 7.1 1.4 1.2 6.8 5.5 0.0 0.0 0.1 0.0 0.0 0.1 0.1 0.1 0.0 0.1 0.1 0.0 0.2 0.0 81-82 3.6 6.1 2.8 3.4 2.8 2.8 1.0 0.7 6.2 7.3 1.4 1.2 6.8 5.5 0.1 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.2 0.1 0.0 0.2 0.0 83-84 3.6 6.4 3.1 3.6 2.9 3.1 1.2 1.1 6.4 7.2 1.4 1.3 6.7 5.6 0.1 0.4 0.4 0.2 0.1 0.3 0.2 0.4 0.3 0.1 0.1 0.1 0.1 0.1 85-86 3.6 6.5 3.1 3.6 2.9 3.1 1.2 1.1 6.3 7.2 1.3 1.3 6.6 5.6 0.1 0.5 0.4 0.2 0.1 0.3 0.2 0.4 0.3 0.1 0.0 0.1 0.0 0.2 87-88 3.6 6.7 3.2 3.6 3.3 3.3 1.5 1.3 6.3 7.3 1.7 1.5 6.7 5.7 0.1 0.7 0.4 0.2 0.5 0.5 0.5 0.6 0.2 0.2 0.3 0.2 0.1 0.3 89-90 3.8 6.6 3.3 3.9 3.4 3.4 1.5 1.3 6.4 7.5 1.9 1.7 6.9 5.7 0.3 0.6 0.5 0.5 0.6 0.6 0.5 0.6 0.4 0.4 0.6 0.5 0.3 0.3 91-92 3.7 6.5 3.3 3.9 3.4 3.4 1.5 1.4 6.4 7.3 1.9 1.7 7.1 5.9 0.3 0.5 0.5 0.5 0.6 0.6 0.5 0.6 0.4 0.3 0.6 0.5 0.5 0.4 93-94 3.7 6.3 3.4 4.0 3.5 3.3 1.5 1.5 6.3 7.1 2.1 1.9 6.9 5.9 0.2 0.4 0.6 0.6 0.7 0.5 0.5 0.7 0.2 0.0 0.8 0.7 0.3 0.4 95-96 4.0 6.5 3.8 4.1 4.0 3.3 1.8 1.5 6.3 7.2 3.4 2.1 7.1 6.1 0.5 0.5 1.0 0.7 1.2 0.5 0.8 0.7 0.2 0.1 2.1 0.9 0.5 0.7 ϕO₂HHb 71-72 19.2 14.6 18.7 17.7 18.0 19.8 22.6 22.9 13.4 11.7 21.0 21.6 13.0 13.6 −1.4 −0.3 −1.7 −1.8 −3.0 −0.6 −2.1 −2.5 −0.9 −0.2 −2.4 −2.8 −0.9 −1.7 73-74 19.4 14.3 18.7 17.8 19.1 19.2 23.0 23.4 13.2 11.7 21.6 22.7 12.8 14.5 −1.2 −0.5 −1.7 −1.7 −1.9 −1.2 −1.7 −2.0 −1.1 −0.2 −1.8 −1.7 −1.1 −0.8 75-76 19.5 13.8 19.0 18.1 19.3 19.1 23.0 23.4 13.5 11.7 22.0 22.7 12.9 14.4 −1.1 −1.0 −1.4 −1.4 −1.7 −1.3 −1.7 −2.0 −0.9 −0.2 −1.4 −1.7 −1.0 −0.9 77-78 19.7 13.9 19.0 18.2 19.6 19.5 23.1 23.8 13.5 11.8 22.2 23.1 13.3 14.8 −0.9 −0.9 −1.4 −1.2 −1.4 −0.9 −1.6 −1.6 −0.9 −0.1 −1.2 −1.3 −0.6 −0.6 79-80 20.6 14.8 19.9 19.1 20.7 20.0 24.2 25.2 14.3 11.9 23.1 24.2 13.5 15.3 0.0 0.0 −0.5 −0.4 −0.3 −0.4 −0.5 −0.2 −0.1 0.0 −0.3 −0.2 −0.4 0.0 81-82 20.5 14.6 20.4 19.5 21.0 20.4 24.7 25.4 14.3 11.8 23.4 24.4 13.7 15.3 −0.1 −0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 −0.1 0.0 0.0 −0.2 0.0 83-84 20.0 13.5 19.4 18.5 20.2 19.5 24.0 24.7 13.5 11.8 23.0 23.8 13.6 14.9 −0.5 −1.3 −1.0 −1.0 −0.7 −0.9 −0.7 −0.7 −0.8 −0.1 −0.4 −0.6 −0.3 −0.4 85-86 20.2 13.6 19.5 18.6 20.3 19.6 24.0 24.5 13.5 11.8 23.0 23.9 13.9 14.8 −0.4 −1.2 −0.9 −0.9 −0.6 −0.8 −0.7 −0.9 −0.8 −0.1 −0.4 −0.5 0.0 −0.5 87-88 20.1 13.2 19.4 18.3 19.4 19.1 23.8 24.1 13.8 11.7 22.8 23.4 13.5 14.6 −0.4 −1.6 −1.0 −1.2 −1.5 −1.3 −0.9 −1.3 −0.6 −0.2 −0.6 −1.0 −0.4 −0.7 89-90 19.7 13.3 19.2 17.9 18.9 18.7 23.4 23.8 13.5 11.2 21.5 22.7 13.0 14.5 −0.9 −1.5 −1.2 −1.6 −2.0 −1.7 −1.3 −1.6 −0.8 −0.7 −2.0 −1.7 −0.9 −0.8 91-92 19.7 13.4 19.3 18.0 18.9 18.8 23.3 23.8 13.4 11.6 21.3 22.8 12.9 14.3 −0.8 −1.5 −1.1 −1.4 −2.0 −1.6 −1.4 −1.5 −0.9 −0.4 −2.1 −1.6 −1.0 −1.0 93-94 19.7 13.7 18.9 17.4 18.5 19.1 23.1 23.4 13.7 11.4 20.8 21.9 13.1 14.3 −0.9 −1.1 −1.5 −2.0 −2.4 −1.3 −1.6 −2.0 −0.6 −0.5 −2.6 −2.5 −0.8 −1.0 95-96 19.1 13.6 18.3 17.4 17.7 19.1 22.4 23.4 13.9 11.2 18.1 21.3 12.8 13.8 −1.5 −1.2 −2.1 −2.1 −3.3 −1.3 −2.3 −2.0 −0.5 −0.7 −5.3 −3.0 −1.1 −1.5 ϕHHb 71-72 7.7 13.0 7.0 7.7 7.6 6.4 3.1 3.0 13.4 15.5 3.9 3.8 14.6 12.6 0.1 0.1 0.7 0.3 1.6 0.2 0.8 1.3 0.2 0.2 0.9 1.0 0.2 0.7 73-74 7.7 13.0 6.8 7.7 6.7 6.3 2.8 2.6 13.3 15.4 3.4 3.1 14.6 12.1 0.0 0.1 0.6 0.3 0.6 0.1 0.6 0.9 0.1 0.1 0.4 0.3 0.2 0.3 75-76 7.7 13.0 6.7 7.7 6.4 6.3 2.8 2.6 13.3 15.4 3.1 3.1 14.7 12.1 0.1 0.1 0.5 0.3 0.4 0.1 0.6 0.9 0.1 0.1 0.2 0.3 0.3 0.2 77-78 7.7 12.9 6.7 7.6 6.4 6.3 2.8 2.6 13.2 15.3 3.1 2.9 14.5 11.9 0.1 0.0 0.5 0.2 0.4 0.0 0.6 0.9 0.0 0.0 0.2 0.1 0.1 0.0 79-80 7.7 13.0 6.2 7.4 6.0 6.2 2.4 1.8 13.4 15.4 3.1 2.8 14.7 12.0 0.0 0.1 0.0 0.0 0.0 0.0 0.2 0.2 0.2 0.1 0.1 0.0 0.3 0.1 81-82 7.9 13.4 6.3 7.4 6.1 6.2 2.2 1.7 13.8 15.4 3.1 2.8 14.7 12.2 0.2 0.5 0.1 0.0 0.1 0.0 0.0 0.0 0.6 0.1 0.1 0.0 0.3 0.3 83-84 8.0 13.9 6.9 7.8 6.3 6.7 2.7 2.3 13.8 15.6 3.1 2.9 14.7 12.2 0.3 1.0 0.7 0.5 0.3 0.4 0.4 0.7 0.6 0.3 0.2 0.2 0.3 0.3 85-86 7.9 14.2 6.9 7.9 6.2 6.7 2.7 2.4 13.9 15.8 2.9 2.9 14.4 12.3 0.2 1.3 0.7 0.5 0.2 0.5 0.5 0.7 0.6 0.5 0.0 0.2 0.0 0.4 87-88 7.8 14.5 7.0 8.1 7.3 7.2 3.1 2.9 13.8 16.0 3.7 3.1 14.8 12.5 0.2 1.6 0.8 0.7 1.3 1.0 0.9 1.2 0.6 0.7 0.8 0.3 0.4 0.6 89-90 8.2 14.2 7.1 8.5 7.4 7.4 3.2 2.9 13.8 16.1 4.2 3.7 15.1 12.6 0.6 1.3 0.9 1.1 1.4 1.2 1.0 1.3 0.5 0.8 1.3 0.9 0.7 0.7 91-92 8.1 14.0 7.0 8.5 7.4 7.4 3.2 3.0 14.0 16.1 4.2 3.7 15.4 12.7 0.5 1.1 0.8 1.1 1.4 1.1 1.0 1.3 0.8 0.8 1.3 1.0 1.0 0.8 93-94 8.2 13.8 7.3 8.8 7.7 7.1 3.2 3.2 13.7 16.1 4.6 4.2 15.1 12.8 0.5 0.9 1.1 1.4 1.6 0.9 1.0 1.5 0.5 0.8 1.7 1.4 0.7 0.9 95-96 8.6 14.3 8.1 9.0 8.8 7.1 4.0 3.2 13.8 16.1 7.4 4.7 15.4 13.4 0.9 1.4 1.9 1.6 2.7 0.9 1.8 1.5 0.5 0.8 4.4 1.9 1.0 1.5

The following muscle performance factors do not meet the criteria established by each factor to determine that any TM^(M) or all of them develop at least one limitation of said factors:

-   -   A1. Structural Factor of Oxidative Capacity     -   A2. Functional Factor of Oxidative Capacity by General Fatigue     -   B1.1. Pulmonary Structural Factor     -   B1.2. Pulmonary Functional Factor     -   B2.1. Analytical Blood Flow Delivery Performance Factor) 

1. A monitoring and evaluation method of the physical performance of a subject that includes the stages of: providing devices for measuring, being two or more Near-Infrared Spectroscopy sensors (NIRS), a heart rate device, an activity monitoring device and a locomotive intensity meter; placing or adhering the NIRS sensors on muscle tissues (TM) to be evaluated, place the heart rate device on a subject's chest, place the activity monitoring device and the locomotive intensity meter; activating the devices for measuring data, during locomotive activity to be evaluated and sending data measured to a data processing system; recording, through the data processing system, the data measured, during the development of at least one Cyclical Locomotive-Physical Activity (AFC), wherein: the Monitored Cyclical Physical Activity (AFC^(M)) is continuous or interval, the activity monitor records the entire time scale from the beginning to the end of the AFC^(M), including multiple work intervals and/or rest intervals, the recording frequency of the data for each device is less than 6 seconds, the AFC^(M) is stable, incremental, decreasing; or variable locomotor intensity or a combination of them, the AFC^(M) includes a period of previous warm-up, if the AFC^(M) does not include at least one Rest interval (ID), the data recording will end 1 minute after the AFC ceases and that minute will be counted as an Rest interval (ID), the Locomotor Work Intensity (INT^(TL)) or the average Locomotor Work Intensity Range (R-INT^(TL)) are greater than or equal to the Minimum Activation Threshold (U_(Amin)); obtaining at least the following monitored data from the devices for measuring with a respective temporary registration: Muscular Oxygen Saturation (SmO₂ ^(%)—%) and Absolute Capillary Hemoglobin (ThB—g/dL) of each of the monitored muscle tissues (TM^(M)) that participate in AFC^(M), through the NIRS devices, Heart rate (HR—bpm), through the heart rate device, Power (Watts), Running Speed (Km/h), through the locomotive intensity meter, time record or timescale of the AFC^(M), with all the time records of the start or end of AFC^(M), and the start and end of the different intervals developed during the AFC^(M), through the locomotive activity meter, cadence (rpm) or acceleration, through external locomotor performance devices, analysis of metabolic gases (VO2/CO2), lactate measurements, and data from thermographic cameras, using physiological locomotor performance devices; synchronizing, linking and joining the monitored data obtained in a single time scale of joint data from the time record scale collected by the activity monitoring device during the AFC^(M) and the time record of each of the devices for measuring, through the data processing system; calculating, through the data processing system, at least the following values for each Monitored Muscle Tissue (TM^(M)) that participates in the AFC^(M) from the recorded data of SmO₂ ^(%) and ThB of: Oxygen-Charged Capillary Hemoglobin—g/dL (O₂HHb), through the formula: % (SmO₂)*g/dL (ThB)=g/dL (O₂ HHb) Oxygen Discharged Capillary Hemoglobin—g/dL (HHb), through the formula: g/dL (ThB)−g/dL (O₂ HHb)=g/dL (HHb) Muscle Blood Flow of Muscle Hemoglobin—g/dL/s (ΦThB), through the formula: [g/dL (ThB)*(HR)]/60=g/dL/seg (ΦThB) Muscular Blood Flow of Oxygen Charged Hemoglobin—g/dL/s (ΦO₂HHb), through the formula: [g/dL (O₂ HHb)*(HR)]/60=g/dL/seg (ΦO₂ HHb) Muscular Blood Flow of Oxygen Discharged Hemoglobin—g/dL/s (ΦHHb), through the formula [g/dL (HHb)*(HR)]/60=g/dL/seg (ΦHHb) filtering and excluding, through the data processing system, the data obtained erroneously and/or due to registration error by devices during AFC^(M); filtering and excluding, through the processing system, the values that are not within the following ranges, as well as data obtained by using them: SMO2%: Between 1% SmO₂ and 99% SmO₂; ThB: Between 9.5 g/dL and 14.9 g/dL; HR: Between 40 ppm and 230 ppm; and filtering and excluding, through the processing system, the values having a difference between two temporary records, a previous value and the temporally subsequent value, greater than the following parameters, as well as data obtained by using them: Difference of SmO2%>±10% SmO2%; Difference of ThB>±0.3 g/dL; Difference of HR>±7 ppm.
 2. The monitoring and evaluation method according to claim 1, which further comprises the steps of: filtering and excluding all values obtained, calculated and/or recorded during all ID or without AFC, filtering and excluding all values obtained, calculated and/or recorded during the first minute of each work interval (IT), filtering and excluding all values obtained, calculated and/or registered when the value of the INT^(TL) or R-INT^(TL) in the same temporary register is equivalent to “0”, filtering and excluding all the values obtained, calculated and/or registered when the value of Muscle Contraction Frequency (FCM) or Muscle Contraction Frequency Range (R-FCM) in the same time register is equivalent to “0”, selecting and performing one of the following procedures: a first procedure comprising the steps of: calculating the statistical median value (Y̆) of the values SmO2%, ThB, ΦThB, O2HHb, ΦO2HHb, HHb, ΦHHb of each TM^(M), during AFC^(M), in each registered Locomotor Work Intensity (INT^(TL)) or in each Intensity Range of Locomotor Work (R-INT^(TL)), that participates in the AFC^(M); calculating and establishing the Trend Line (Lin^(Trend)) of the median values (Y̆−INT^(TL)) or (Y̆−R-INT^(TL)) obtained from Y̆SmO₂ ^(%), Y̆ThB, Y̆ΦThB, Y̆O₂HHb, Y̆ΦO₂HHb, Y̆HHb and Y̆ΦHHb, in each TM^(M); a second procedure comprising the steps of: calculating the statistical average value (Y) of the values of SmO₂ ^(%), ThB, ΦThB, O₂HHb, ΦO₂HHb, HHb, ΦHHb, of each TM^(M), during AFC^(M), in each INT^(TL) or R-INT^(TL), registered during the AFC^(M); calculating and establishing the Lin^(Trend) of the average values (Y−INT^(TL)) or (Y−R-INT^(TL)) obtained from YSmO₂ ^(%), YThB, YΦThB, YO₂HHb, YΦO₂HHb, YHHb and YΦHHb, in each TM^(M); a third procedure comprising a step of: calculating and establishing the Lin^(Trend) (Value/INT^(TL)) or (Value/R-INT^(TL)) from all filtered values of SmO₂ ^(%), ThB, ΦThB, O₂HHb, ΦO₂HHb, HHb, HHb, in each TM^(M); calculating all values of Lin^(Trend)|Y|SmO₂ ^(%), |Y|ThB, |Y|ΦThB, |Y|O₂HHb, |Y|ΦO₂HHb, |Y|HHb and |Y|HHb, of each TM^(M), for each INT^(TL) or R-INT^(TL); calculating the Slope (p) between each of the values of |Y|SmO₂ ^(%), |Y|ThB, |Y|ΦThB, |Y|O₂HHb, |Y|ΦO₂HHb, |Y|HHb and |Y|ΦHHb, from each TM^(M); calculating, analyzing and determining all the trend changes of (p) in each of the Lin^(Trend) of all the values |Y|SmO₂ ^(%), |Y|ThB, |Y|ΦThB, |Y|O₂HHb, |Y|ΦO₂HHb, |Y|HHb and |Y|ΦHHb, of each TM^(M); calculating, analyzing and establishing between which two values of INT^(TL) or R-INT^(TL) occurs the 1st, 2nd and 3rd change in each TM^(M) of the trend of the slope (p) of each Lin^(Trend) through the combining at least 4 of the 7 possible (p) changes of |Y|SmO₂ ^(%), |Y|ThB, |Y|ΦThB, |Y|O₂HHb, |Y|ΦO₂HHb, |Y|HHb and |Y|ΦHHb; establishing the Physiological Thresholds of each TM^(M) equivalent to the trend changes: 1st Change (p) 2nd Change (p) 3rd Change (p) U_(Amin Individual) U_(Ae Individual) U_(Ana Individual) TM^(M) Rank|X| (Watts) Rank|X| (Watts) Rank|X| (Watts) |X| (Watts) |X| (Watts) |X| (Watts)

establishing the INT^(TL) or R-INT^(TL) of the General Physiological Thresholds from the median of the values of the individual thresholds of all TM_(S) ^(M): 1st General 2nd General 3rd General Change (p) Change (p) Change (p) U_(Amin) U_(Ae) U_(Ana) TM^(M) Rank|X| (Watts) Rank|X| (Watts) Rank|X| (Watts) |X| (Watts) |X| (Watts) |X|(Watts)


3. The monitoring and evaluation method according to claim 2, further comprising the steps of: calculating, analyzing and determining the CSV, between at least two sets of values |Y|SmO₂ ^(%), |Y|ThB, |Y|ΦThB, |Y|O₂HHb, |Y|ΦO₂HHb, |Y|HHb or |Y|ΦHHb, established between two determined INT^(TL) or R-INT^(TL), between at least two determined TM_(S) ^(M): ${CSV} = \frac{{Standard}{Deviation}(\sigma){of}{the}{values}{of}{❘Y❘}}{{Average}{of}{the}{values}{of}{❘Y❘}}$ establishing the Symmetry Level (NS^(CSV)) from the CSV value calculated from the values |Y|SmO₂ ^(%), |Y|ThB, |Y|ΦThB, |Y|O₂HHb, |Y|ΦO₂HHb, |Y|HHb or |Y|ΦHHb, between two INT^(TL) or two R-INT^(TL) determined, between at least two TM_(S) ^(M) determined: establishing the Symmetry Level (NS^(CSV)) from the CSV value, where: Symmetry CSV Level (NS^(CSV)) SmO₂ ^(%) O₂HHb − HHb ΦO2HHb − ΦHHb Perfect ≤0.01 ≤0.001 ≤0.01 Optimum >0.01 ≤0.05 >0.001 ≤0.005 >0.01 ≤0.05 Minimal >0.05 ≤0.20 >0.005 ≤0.02 >0.05 ≤0.2 Asymmetry >0.20 >0.02 >0.2

calculating, analyzing and determining the slope-trend

|Y| of at least |Y|SmO₂ ^(%), |Y|O₂HHb, |Y|ΦO₂HHb, |Y|HHb and/or |Y|ΦHHb, between two INT^(TL) or two R-INT^(TL), of at least two TM_(S) ^(M): ${\overset{\leftrightarrow}{(p)} = \frac{{{❘Y❘}2} - {{❘Y❘}1}}{{{❘X❘}2} - {{❘X❘}1}}};$ where

is the slope-trend; |Y|1 the determined value of SmO₂%, O₂HHb, ΦO₂HHb, HHb o ΦHHb, of the first LNT^(TL) or R-INT^(TL) and |Y|2 of the second INT^(TL) or R-INT^(TL); |X|1 is the first LNT^(TL) or R-INT^(TL) and |X|2 the second INT^(TL) or R-INT^(TL); calculating, analyzing and establishing the

of

|Y|SmO₂ ^(%),

|Y|O₂HHb,

|Y|ΦO₂HHb,

|Y|HHb and/or

|Y|ΦHHb between two INT^(TL) or two R-INT^(TL), of one TM^(M) determined with respect to the trend of

|Y|SmO₂ ^(%),

|Y|O₂HHb,

|Y|ΦO₂HHb,

|Y|HHb and/or

|Y|ΦHHb of another TM^(M) or a set of values trends of

|Y|SmO₂ ^(%),

|Y|O₂HHb,

|Y|ΦO₂HHb,

|Y|HHb and/or

|Y|ΦHHb of two or more TM_(S) ^(M):

=[

|Y|]−[

|Y|] wherein

|Y| is the median slope-trends of the compared TM_(S) ^(M) and

|Y| is the slope-trend of the analyzed TM^(M); and establishing the Symmetry Level (NS^(Coef-(p))) from the calculated value of

|Y|SmO₂ ^(%),

|Y|O₂HHb,

|Y|ΦO₂HHb,

|Y|HHb o

|Y|ΦHHb of the analyzed TM^(M): Symmetry Level Coef- 

  (NS^(Coef-(p))) SmO₂ ^(%) O₂HHb − HHb ΦO₂HHb − ΦHHb Perfect ≤0.01 ≤0.001 ≤0.01 Optimum >0.01 ≤0.05 >0.001 ≤0.005 >0.01 ≤0.05 Minimal >0.05 ≤0.15 >0.005 ≤0.015 >0.05 ≤0.15 Asymmetry >0.15 >0.015 >0.15.


4. The monitoring and evaluation method according to claim 2 and 3, further comprising the steps of: evaluating the value of |Y|SmO₂ ^(%) in each INT^(TL) or R-INT^(TL), INT^(TL) greater than or equal to U_(Amin) and less than or equal to U_(Ana); calculating, comparing, evaluating and establishing the Coefficient of Symmetry between Values (CSV) and the Level of Symmetry (NS^(CSV)) between |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ΦO₂HHb of each TM^(M) and his Contralateral Muscle Tissue Monitored (TMC^(M)), in each INT^(TL) or R-INT^(TL) INT^(TL) greater than or equal to U_(Amin) and less than or equal to U_(Ana); calculating, comparing and evaluating the General Trend of the Values (TGV [

]) |Y|SmO₂ ^(%), |Y|ΦO₂HHb and |Y|O₂HHb, of all TM_(S) ^(M), in the R-INT^(TL) (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)); calculating, comparing and establishing the lowest value of

and the equivalent NS^(Coef-(p)) of

|Y|SmO₂ ^(%),

|Y|ΦO₂HHb and

|Y|O₂HHb, between the combination of at least 70-75% of the TM_(S) ^(M), in the R-INT^(TL) (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)); determining that the following criteria are met to establish a limitation in Factor (A1): the value of |Y|SmO₂ ^(%) in each INT^(TL) or R-INT^(TL) INT^(TL) greater or equal than U_(Amin) and less than or equal to U_(Ana), is ≥70% SmO2^(%), in at least 70-75% of TM_(S) ^(M); the values of |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ΦO₂HHb of each TM^(M) and TMC^(M), have at least one optimal symmetry, in each INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin) and less than or equal to U_(Ana), in at least the 70-75% of TM_(S) ^(M); the TGV of de

|Y|SmO₂ ^(%),

|Y|ΦO₂HHb and

|Y|O₂HHb is symmetric between the combination of at least 70-75% of TM_(S) ^(M), in the R-INT^(TL) (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)); and the TGV of de

|Y|SmO₂ ^(%),

|Y|ΦO₂HHb and

|Y|O₂HHb is symmetric between each TM^(M) and his TMC^(M), in at least 80-85% of TM_(S) ^(M), in the R-INT^(TL) (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)).
 5. The monitoring and evaluation method according to claim 2, further comprising the steps of: evaluating the values of |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ΦO₂HHb of each TM^(M), in each INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin); calculating and evaluating the difference of SmO₂% between the value of |Y|SmO₂ ^(%) of each TM^(M) and his TMC^(M), in each INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin); comparing, evaluating and determining the CSV and NS^(CSV) between the values of |Y|SmO₂ ^(%), |Y|ΦO₂HHb and |Y|O₂HHb of each TM^(M) and his TMC^(M), in each INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin); calculating, comparing and evaluating the TGV [

of |Y|SmO₂ ^(%), |Y|ΦO₂HHb and |Y|O₂HHb of all TM_(S) ^(M), in the R-INT^(TL) (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)); calculating, comparing and establishing the lowest value of

and the equivalent NS^(Coef-(p)) of

|Y|SmO₂ ^(%),

|Y|ΦO₂HHb and

|Y|O₂HHb, between the combination of at least 50-55% of the TM_(S) ^(M), in the R-INT^(TL) (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)); determining that the following criteria are met to establish a limitation in Factor (A2): the difference between the value of |Y|SmO₂ ^(%) of each TM^(M) and his TMC^(M) is >5% SmO2^(%), in the 95% of INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin), in at least the 70-75% of TM_(S) ^(M); the value of |Y|SmO₂ ^(%)is ≥55% SmO2^(%), in the 80% of TM_(S) ^(M), in each INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin) and less than or equal to U_(Ana); the values of |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ΦO₂HHb are asymmetric in at least the 50% of INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin), between one TM^(M) and his TMC^(M), in at least the 70-75% of TM_(S) ^(M); and the TGV of de

|Y|SmO₂%,

|Y|ΦO₂HHb and

|Y|O₂HHb is asymmetric between the combination of at least the 50-55% of TM_(S) ^(M), in the R-INT^(TL) (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)).
 6. The monitoring and evaluation method according to claim 2, further comprising the steps of: evaluating the value of |Y|SmO₂ ^(%) of at least one TM^(M), in each INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin); calculate, comparing and evaluating the value of |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ΦO₂HHb of at least one TM^(M) with the values of his TMC^(M), in each INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin); calculating, evaluating and determining the value of CSV and NS^(CSV) of |Y|SmO₂ ^(%), |Y|ΦO₂HHb and |Y|O₂HHb, of at least one TM^(M) and his TMC^(M), in each INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin); calculating, comparing and evaluating the TGV [

] of |Y|SmO₂ ^(%), |Y|ΦO₂HHb and |Y|O₂HHb of all TM_(S) ^(M), in the R-INT^(TL) (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)); calculating, evaluating and determining the lowest value of

and the equivalent NS^(Coef-(p)) between the values of

|Y|SmO₂ ^(%),

|Y|ΦO₂HHb and

|Y|O₂HHb, of at least the combination of the 50-55% TM_(S) ^(M); determining that the following criteria are met to establish a limitation on Factor (A3): the value of |Y|SmO₂ ^(%)is ≥50% SmO2^(%) in the TM^(M) analyzed, in the 95% of INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin); the values of |Y|SmO₂ ^(%), |Y|O₂HHb |Y|y ΦO₂HHb of the TM^(M) analyzed are greater than the values of his TMC^(M), in the 95% of INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin); the TGV of

|Y|SmO₂ ^(%),

|Y|ΦO₂HHb and

|Y|O₂HHb is asymmetric between the TM^(M) analyzed and his TMC^(M), in the R-INT^(TL) (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)); and the TGV of

|Y|SmO₂ ^(%),

|Y|ΦO₂HHb and

|Y|O₂HHb is symmetric between the combination of at least the 50-55% of TM_(S) ^(M), in the R-INT^(TL) (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)).
 7. The monitoring and evaluation method according to claim 2, further comprising the steps of: evaluating the value of |Y|SmO₂ ^(%), |Y|ΦO₂HHb and |Y|O₂HHb, of each TM^(M), in each INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin); calculating, evaluating and determining the value of CSV and the equivalent NS^(CSV) of de |Y|SmO₂ ^(%), |Y|ΦO₂HHb and |Y|O₂HHb, of at least one TM^(M) and his TMC^(M), in each INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin); calculating, comparing and evaluating the TGV [

]) of |Y|SmO₂ ^(%), |Y|ΦO₂HHb and |Y|O₂HHb of all TM_(S) ^(M), in the R-INT^(TL) (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)); calculating, evaluating and determining

and the equivalent NS^(Coef-(p)) between the values

|Y|SmO₂ ^(%),

|Y|ΦO₂HHb and

|Y|O₂HHb, of each TM^(M) and his TMC^(M), in the R-INT^(TL) (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)); determining that the following criteria are met to establish a limitation on Factor (A4): the value of |Y|SmO₂ ^(%) of the TM^(M) analyzed and of his TMC^(M) is greater than or equal to 65% SmO₂ ^(%), in each INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin); the trend of

|Y|SmO₂ ^(%),

|Y|ΦO₂HHb and

|Y|O₂HHb, in the 70% of TM_(S) ^(M) and their TM_(S)C^(M) are minimally symmetric, in the R-INT^(TL) (U_(Amin)−U_(Ae)) and (U_(Ae)−U_(Ana)); the values of |Y|SmO₂ ^(%), |Y|ΦO₂HHb and |Y|O₂HHb of the TM^(M) analyzed and his TMC^(M) are greater than the values of at least the 70-75% of the remaining TM_(S) ^(M), in each INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin); and the values of |Y|SmO₂ ^(%) of at least the 50-55% of TM_(S) ^(M) is ≤45% SmO2%, in any INT^(TL) or R-INT^(TL) greater than or equal to U_(Ae).
 8. The monitoring and evaluation method according to claim 2, where in addition to the TM_(S) ^(M) to be evaluated, one or more TM_(S) ^(M) that participate in the breathing process are evaluated, and where the method also comprise the steps of: calculating, analyzing and evaluating the value of |Y|SmO₂ ^(%) of at least one TM^(M) involved in the breathing process inspiration (inhalation) and expiration (exhalation), during AFC^(M), in each INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin); calculating, analyzing and evaluating the trend

of the SmO₂ ^(%) and ΦO₂HHb values of all TM_(S) ^(M), on the initial 5 and 10 seconds of at least one ID after an IT of INT^(TL) or R-INT^(TL) average greater than or equal to U_(Ae); determining that the following criteria are met to establish a limitation on Factor (B1.1): the trend of the values

SmO₂ ^(%) and

ΦO₂HHb in the initial 5 seconds, in all ID after an IT of INT^(TL) or R-INT^(TL) average greater than or equal to U_(Ae), is less than [

<0000.5], in at least 70% of TM_(S) ^(M); the trend of the values

SmO₂ ^(%) and

ΦO₂HHb in the initial 10 seconds, in all ID after an IT of INT^(TL) or R-INT^(TL) average greater than or equal to U_(ANA), is less than [

<0000.5], in at least 70% of TM_(S) ^(M); and the value of |Y|SmO₂ ^(%)is >50% SmO₂ ^(%) in the TM_(S) ^(M) that participate in the breathing process [inspiration (inhalation) and expiration (exhalation)], in at least one INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin).
 9. The monitoring and evaluation method according to claim 2, where in addition to the TM_(S) ^(M) to be evaluated, one or more TM_(S) ^(M) that participate in the breathing process are evaluated, and where they also comprise the steps of: calculating, analyzing and evaluating the value of |Y|SmO₂ ^(%) of at least one TM involved in the breathing process, inspiration (inhalation) and expiration (exhalation), during AFC^(M), in each INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin); calculating, analyzing and evaluating the trend

of the SmO₂ ^(%) and ΦO₂HHb values of all TM_(S) ^(M), in the initial 5 seconds, of at least one ID after an IT of INT^(TL) or R-INT^(TL) average greater than or equal to U_(Ae); determining that the following criteria are met to establish a limitation on Factor (B1.1): the trend of the values

SmO₂ ^(%) and

ΦO₂HHb in the initial 5 seconds, in all ID after an IT of INT^(TL) or R-INT^(TL) average greater than or equal to U_(Ae), is less than [

<0000.5], in at least 70% of TM_(S) ^(M); the value of |Y|SmO₂ ^(%) is ≤50% SmO₂ ^(%) in the TM_(S) ^(M) that participate in the breathing process, inspiration (inhalation) and expiration (exhalation), in at least one INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin).
 10. The monitoring and evaluation method according to claim 2, further comprising the steps of: calculating the value of |Y|SmO₂ ^(%), |Y|O₂HHb, |Y|ΦO₂HHb, of each TM^(M), in at least one INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin). calculating the values of SmO₂ ^(%), O₂HHb and ΦO₂HHb of the Upper Limit of the Optimal Zone (|lim sup|Zona^(Op)) and the Lower Limit of the Optimal Zone |lim inf|Zona^(Op), in the determined INT^(TL) or R-INT^(TL), from the following calculation: |lim sup|Zona^(Op)=(Median of {|Y| ₁ ;|Y| ₂ ;|Y| ₃; . . . ,})+(σ{|Y| ₁ ;|Y| ₂ ;|Y| ₃; . . . ,})/2 |lim inf|Zona^(Op)=(Median of {|Y| ₁ ;|Y| ₂ ;|Y| ₃; . . . ,})−(σ{|Y| ₁ ;|Y| ₂ ;|Y| ₃; . . . ,})/2 wherein |Y| is the value (SmO₂ ^(%), O₂HHb or ΦO₂HHb) of each TM^(M) at the determined intensity; (σ) is the standard deviation of (SmO₂ ^(%), O₂HHb or ΦO₂HHb) of each TM^(M) at the determined intensity; comparing and evaluating the values of |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ΦO₂HHb, of at least one TM^(M) with the values of SmO₂ ^(%), O₂HHb and ΦO₂HHb of |lim inf|Zona^(Op) and of |lim sup|Zona^(Op), in analyzed INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin); determining the type of performance of the Factor (B.2.1.1) that develops at least one TM^(M) analyzed, in the analyzed INT^(TL) or R-INT^(TL), based on the following criteria: excessive Muscle Oxygen Amount if: the value of |Y|SmO₂ ^(%) of the TM^(M) is ≤80% SmO₂ ^(%) in the analyzed INT^(TL) or R-INT^(TL); the value of |Y|SmO₂ ^(%) of the analyzed TM^(M) is greater than SmO₂ ^(%)|lim sup|Zona^(Op), in the analyzed INT^(TL) or R-INT^(TL); the difference between the value of |Y|SmO₂ ^(%) of the analyzed TM^(M) and SmO₂ ^(%) |lim sup|Zona^(Op) is ≥15% SmO2^(%), in the analyzed INT^(TL) or R-INT^(TL); greater Amount of Muscular Oxygen if: the value of |Y|SmO₂ ^(%) of the analyzed TM^(M) is greater than SmO₂ ^(%) |lim sup|Zona^(Op), in the analyzed INT^(TL) or R-INT^(TL); the difference between the value of |Y|SmO₂ ^(%) of the analyzed TM^(M) and SmO₂ ^(%) |lim sup|Zona^(Op), is <15% SmO2^(%), in the analyzed INT^(TL) or R-INT^(TL); optimal Amount of Muscular Oxygen if: the value of |Y|SmO₂ ^(%) of the analyzed TM^(M) is equal or less than SmO₂ ^(%) |lim sup|Zona^(Op), in the analyzed INT^(TL) or R-INT^(TL); the value of |Y|SmO₂ ^(%) of the analyzed TM^(M) is equal or greater than SmO₂ ^(%) |lim inf|Zona^(Op), in the analyzed INT^(TL) or R-INT^(TL); lower Amount of Muscular Oxygen if: the value of |Y|SmO₂ ^(%) of the analyzed TM^(M) is greater than SmO₂ ^(%)|lim inf|Zona^(Op), in the analyzed INT^(TL) or R-INT^(TL); the value of |Y|SmO₂ ^(%) of the analyzed TM^(M) is >20% SmO2^(%), in the analyzed INT^(TL) or R-INT^(TL); inefficient or Low Amount of Muscular Oxygen if: the value of |Y|SmO₂ ^(%) of the analyzed TM^(M) is greater than SmO₂ ^(%)|lim inf|Zona^(Op), in the analyzed INT^(TL) or R-INT^(TL); the value of |Y|SmO₂ ^(%) of the analyzed TM^(M) is <20% SmO2^(%), in the analyzed INT^(TL) or R-INT^(TL); determining the type of performance of the Factor (B.2.1.2) that develops at least one analyzed TM^(M), in the analyzed INT^(TL) or R-INT^(TL), based on the following criteria: higher Hemoglobin Delivery Volume if: the value of |Y|O₂HHb of the analyzed TM^(M) is greater than O₂HHb |lim sup|Zona^(Op), in the INT^(TL) or R-INT^(TL) analyzed; optimal Hemoglobin Delivery Volume if: the value of |Y|O₂HHb of the analyzed TM^(M) analyzed is equal or less than O₂HHb |lim sup|Zona^(Op), in the analyzed INT^(TL) or R-INT^(TL); the value of |Y|O₂HHb of the analyzed TM^(M) is equal or greater than O₂HHb |lim inf|Zona^(Op), in the analyzed INT^(TL) or R-INT^(TL); lower Hemoglobin Delivery Volume if: the value of |Y|O₂HHb of the analyzed TM^(M) a is less than O₂HHb |lim inf|Zona^(Op), in the analyzed INT^(TL) or R-INT^(TL); determining the type of performance of the Factor (B.2.1.3) that develops at least one analyzed TM^(M), in the analyzed INT^(TL) or R-INT^(TL), based on the following criteria: higher Blood Flow Delivery Rate if: the value of |Y|ΦO₂HHb of the analyzed TM^(M) is greater than the value of ΦO₂HHb |lim sup|Zona^(Op), in the analyzed INT^(TL) or R-INT^(TL); optimal Blood Flow Delivery Rate if: the value of |Y|ΦO₂HHb of the analyzed TM^(M) is equal or less than of ΦO₂HHb |lim sup|Zona^(Op), in the analyzed INT^(TL) or R-INT^(TL); the value of |Y|ΦO₂HHb of the analyzed TM^(M) is equal or greater than ΦO₂HHb |lim inf|Zona^(Op), in the analyzed INT^(TL) or R-INT^(TL); lower Blood Flow Delivery Rate if: the value of |Y|ΦO₂HHb of the analyzed TM^(M) is less than ΦO₂HHb |lim inf|Zona^(Op), in the analyzed INT^(TL) or R-INT^(TL).
 11. The monitoring and evaluation method according to claim 2, further comprising the steps of: calculating, comparing and evaluating the maximum value of SmO₂ ^(%), O₂HHb and ΦO₂HHb of all TM_(S) ^(M), in at least one ID; calculating, evaluating and determining the value of CSV and the equivalent NS^(CSV) of the maximum value of SmO₂ ^(%), ΦO₂HHb and O₂HHb, of all TM_(S) ^(M), in at least one ID; calculating, evaluating and determining the lowest value of CSV and the equivalent NS^(CSV) of the maximum value of SmO₂ ^(%), ΦO₂HHb and O₂HHb, from the combination of at least the 70-75% of the TM_(S) ^(M), in at least one ID; determining the type of performance of the Factor (B.2.2), just at the moment of cessation of locomotor work, based on the following criteria: perfect performance if: the maximum values of SmO₂ ^(%), O₂HHb and ΦO₂HHb are symmetrically perfect, between all TM_(S) ^(M), in the analyzed ID; optimal performance if: the maximum values of SmO₂ ^(%), O₂HHb and ΦO₂HHb, are symmetrically optimal, between the combination of at least the 70-75% of the TM_(S) ^(M), in the analyzed ID; asymmetric Performance if: the maximum values of SmO₂ ^(%), O₂HHb and ΦO₂HHb, are not symmetrically optimal, between the combination of at least the 70-75% of the TM_(S) ^(M), in the analyzed ID.
 12. The monitoring and evaluation method according to claim 2, further comprising the steps of: calculating, comparing and evaluating the maximum value of SmO2^(%)between two ID, separated by at least one IT of at least one TM^(M); determining the type of performance of the Factor (B.2.3) that develops, at least one analyzed TM^(M), between two ID, separated by a IT, based on the following criteria: Significant increase: increase >5% SmO2^(%), in the maximum value of SmO2^(%), of the analyzed TM^(M), in the 2nd ID in compared to the 1ST LD; Slight Increase: increase between [2.01-5%] SmO2^(%), in the maximum value of SmO2^(%), of the analyzed TM^(M), in the 2nd ID in compared to the 1ST LD; Slight decrease if: decrease between [2.01-5%] SmO2^(%) in the maximum value of SmO2^(%), of the analyzed TM^(M), in the 2nd ID in compared to the 1ST LD; Significant decrease if: decrease >5% SmO2^(%), in the maximum value of SmO2^(%) of the analyzed TM^(M), in the 2nd ID in compared to the 1ST LD; Maintenance if: decrease or increase of between [0-2%] SmO2^(%), in the maximum value of SmO2^(%), of the analyzed TM^(M), in the 2nd ID in compared to the 1ST LD.
 13. The monitoring and evaluation method according to claim 2, further comprising the steps of: calculating, comparing and evaluating the TGV [

] of

|Y|ThB of at least one TM^(M), in the R-INT^(TL) (U_(Ae)−U_(ANA)) and (U_(ANA)−Maximum Intensity [Int_(Max)]); the value of |Y|SmO₂ ^(%) of the analyzed TM^(M) is less than or equal to 45% SmO₂ ^(%), in at least one INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin); determining if the following criteria are met to establish a limitation in Factor (B2.4): the TGV

|Y|ThB of the analyzed TM^(M) is [

>0.0005], in the R-INT^(TL) (U_(Ae)−U_(ANA)) or (U_(ANA)−Maximum Intensity [Int_(Max)]); and the value of |Y|SmO₂ ^(%) of the analyzed TM^(M) is less than or equal to 45% SmO₂ ^(%), in at least one INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin).
 14. The monitoring and evaluation method according to claim 2, further comprising the steps of: evaluating the value |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ΦO₂HHb, of at least one TM^(M), in at least one INT^(TL) or R-INT^(TL) greater or equal than U_(Amin); calculating the SmO₂ ^(%), O₂HHb and ΦO₂HHb values of the Upper Limit of the Optimal Zone (|lim sup|Zona^(Op)) and the Lower Limit of the Optimal Zone (|lim inf|Zona^(Op)), in the determined INT^(TL) or R-INT^(TL), from the following calculation: |lim sup|Zona^(Op)=(Mediana de{|Y| ₁ ;|Y| ₂ ;|Y| ₃; . . . ,})+(σ{|Y| ₁ ;|Y| ₂ ;|Y| ₃; . . . ,})/2 |lim inf|Zona^(Op)=(Mediana de{|Y| ₁ ;|Y| ₂ ;|Y| ₃; . . . ,})−(σ{|Y| ₁ ;|Y| ₂ ;|Y| ₃; . . . ,})/2 where |Y| is the value (SmO₂ ^(%), O₂HHb or ΦO₂HHb) of each TM^(M), in the determined INT^(TL) or R-INT^(TL) and (σ) the standard deviation of (SmO₂ ^(%), O₂HHb or ΦO₂HHb) of each TM^(M), in the determined INT^(TL) or R-INT^(TL); comparing and evaluating the values of |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ΦO₂HHb, of at least one TM^(M) with the values of SmO₂ ^(%), O₂HHb and ΦO₂HHb of the |lim sup|Zona^(Op) and the |lim inf|Zona^(Op), in at least one determined INT^(TL) or R-INT^(TL) greater or equal than U_(Amin); determining the level of Neuromuscular Activation performed by at least one TM^(M) (Factor B3.1), based on the following criteria: Null or Very Low Neuromuscular Activation if: the value of |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ΦO₂HHb of the TM^(M) analyzed is greater than SmO₂ ^(%), O₂HHb and ΦO₂HHb |lim sup|Zona^(Op), in the determined INT^(TL) or R-INT^(TL); the value of |Y|SmO₂ ^(%) of the TM^(M) analyzed, is ≥75% SmO₂ ^(%) in the determined INT^(TL) or R-INT^(TL); Less or Low Neuromuscular Activation if: the value of |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ΦO₂HHb of the TM^(M) analyzed is greater than SmO₂ ^(%), O₂HHb and ΦO₂HHb |lim sup|Zona^(Op), in the determined INT^(TL) or R-INT^(TL); the value of |Y|SmO₂ ^(%) of the TM^(M) analyzed, is <75% SmO₂ ^(%), in the determined INT^(TL) or R-INT^(TL); Optimal Neuromuscular Activation if: the value of |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ΦO₂HHb, of the TM^(M) analyzed, is less than SmO₂ ^(%), O₂HHb and ΦO₂HHb |lim sup|Zona^(Op), in the determined INT^(TL) or R-INT^(TL); the value of |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ΦO₂HHb, of the TM^(M) analyzed, is greater than SmO₂ ^(%), O₂HHb and ΦO₂HHb |lim inf|Zona^(Op), in the determined INT^(TL) or R-INT^(TL); Excessive or Priority Neuromuscular Activation if the value of |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ΦO₂HHb, of the TM^(M) analyzed, is less than SmO₂ ^(%), O₂HHb and ΦO₂HHb |lim inf|Zona^(Op), in the determined INT^(TL) or R-INT^(TL); the value of |Y|SmO₂ ^(%) of the TM^(M) analyzed is ≤25% SmO₂ ^(%), in some INT^(TL) or R-INT^(TL); High Neuromuscular Activation if: the value of |Y|SmO₂ ^(%), |Y|O₂HHb and |Y|ΦO₂HHb, of the TM^(M) analyzed, is less than SmO₂ ^(%), O₂HHb and ΦO₂HHb |lim inf|Zona^(Op), in the determined INT^(TL) or R-INT^(TL); the value of |Y|SmO₂ ^(%) of the TM^(M) analyzed is >25% SmO₂ ^(%), in all the INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin).
 15. The monitoring and evaluation method according to claim 2, further comprising the steps of: calculating the median value of ThB (Y̆ThB), of at least one TM^(M), in at least one IT of average INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin); calculating the standard deviation (σ) of at least one TM^(M), in at least one IT of average INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin); calculating the minimum value of ThB in at least one ID perform after an IT analyzed, of average INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin); calculating and evaluate the difference between [(Y̆ThB)−σ] of at least one IT and the minimum value of ThB of his posterior/successive ID; determining if the following criteria are met to establish a limitation in Factor (B3.2) in at least one TM^(M): the value [Median Y̆ThB−σThB] of the analyzed TM^(M), of the analyzed IT of INT^(TL) or R-INT^(TL) greater than or equal to U_(Amin), is greater than the minimum value of ThB of the successive ID to the analyzed IT.
 16. The monitoring and evaluation method according to claim 2, further comprising the steps of: calculating, comparing and evaluating the median value (Y̆) of SmO₂ ^(%), O₂HHb, ΦO₂HHb, HHb and ΦHHb, of each TM^(M), in at least one determined INT^(TL) or R-INT^(TL), in each one of the developed FCM and in the determined environmental conditions, during the AFC^(M); determining all the Optimal FCM or Optimal R-FCM, of at least one determined INT^(TL) or R-INT^(TL), under certain environmental conditions, during AFC^(M), based on the fulfillment of the following criteria established for the factor (B3.3): have the highest value of Y̆SmO₂ ^(%) or a difference ≤(±2.5%) SmO₂ ^(%) with respect to the highest value Y̆SmO₂ ^(%), of all FCM or R-FCM, in at least the 78-81% of the TM^(M), in the determined INT^(TL) or R-INT^(TL), during the determined AFC^(M); have the highest value of Y̆O₂HHb % or a difference ≤(±0.30 g/dL) O₂HHb with respect to the highest value Y̆O₂HHb, of all FCM or R-FCM, in at least the 78-81% of the TM^(M), in the determined INT^(TL) or R-INT^(TL), during the determined AFC^(M); have the highest value of Y̆ΦO₂HHb % or a difference ≤(±1.00 g/dL) ΦO₂HHb with respect to the highest value Y̆ΦO₂HHb, of all FCM or R-FCM, in at least the 78-81% of the TM^(M), in the determined INT^(TL) or R-INT^(TL), during the determined AFC^(M); have the lowest value of Y̆HHb % or a difference ≤(±1.00 g/dL) HHb with respect to the lowest value HHb, of all FCM or R-FCM, in at least the 78-81% of the TM^(M), in the determined INT^(TL) or R-INT^(TL), during the determined AFC^(M); have the lowest value of Y̆ΦHHb^(%) or a difference ≤(±1.00 g/dL) ΦHHb with respect to the lowest value Y̆ΦHHb, of all FCM or R-FCM, in at least the 78-81% of the TM^(M), in the determined INT^(TL) or R-INT^(TL), during the determined AFC^(M).
 17. A monitoring and evaluating system the physical performance of one subject that comprises: two or more near infrared sensors (NIRS); a heart rate device; an activity monitoring device; a locomotive intensity meter; and a data processing system connected to the two or more near infrared sensors (NIRS), the heart rate device, the activity monitoring device and the locomotive intensity meter and configured to carry out the steps of: placing or adhering the NIRS sensors on muscle tissues (TM) to be evaluated, place the heart rate device on a subject's chest, place the activity monitoring device and the locomotive intensity meter; activating the devices for measuring data, during locomotive activity to be evaluated and sending data measured to a data processing system; recording, through the data processing system, the data measured, during the development of at least one Cyclical Locomotive-Physical Activity (AFC), wherein: the Monitored Cyclical Physical Activity (AFC^(M)) is continuous or interval, the activity monitor records the entire time scale from the beginning to the end of the AFC^(M), including multiple work intervals and/or rest intervals, the recording frequency of the data for each device is less than 6 seconds, the AFC^(M) is stable, incremental, decreasing or variable locomotor intensity or a combination of them, the AFC^(M) includes a period of previous warm-up, if the AFC^(M) does not include at least one Rest interval (ID), the data recording will end 1 minute after the AFC ceases and that minute will be counted as an Rest interval (ID), the Locomotor Work Intensity (INT^(TL)) or the average Locomotor Work Intensity Range (R-INT^(TL)) are greater than or equal to the Minimum Activation Threshold (U_(Amin)); obtaining at least the following monitored data from the devices for measuring with a respective temporary registration: Muscular Oxygen Saturation (SmO₂ ^(%)—%) and Absolute Capillary Hemoglobin (ThB—g/dL) of each of the monitored muscle tissues (TM^(M)) that participate in AFC^(M), through the NIRS devices, Heart rate (HR—bpm), through the heart rate device, Power (Watts), Running Speed (Km/h), through the locomotive intensity meter, time record or timescale of the AFC^(M), with all the time records of the start or end of AFC^(M), and the start and end of the different intervals developed during the AFC^(M), through the locomotive activity meter, cadence (rpm) or acceleration, through external locomotor performance devices, analysis of metabolic gases (VO2/CO2), lactate measurements, and data from thermographic cameras, using physiological locomotor performance devices; synchronizing, linking and joining the monitored data obtained in a single time scale of joint data from the time record scale collected by the activity monitoring device during the AFC^(M) and the time record of each of the devices for measuring, through the data processing system; calculating, through the data processing system, at least the following values for each Monitored Muscle Tissue (TM^(M)) that participates in the AFC^(M) from the recorded data of SmO₂ ^(%) and ThB of: Oxygen-Charged Capillary Hemoglobin—g/dL (O₂HHb), through the formula: % (SmO₂)*g/dL (ThB)=g/dL (O₂ HHb) Oxygen Discharged Capillary Hemoglobin—g/dL (HHb), through the formula: g/dL (ThB)−g/dL (O₂ HHb)=g/dL (HHb) Muscle Blood Flow of Muscle Hemoglobin—g/dL/s (ΦThB), through the formula: [g/dL (ThB)*(HR)]/60=g/dL/seg (ΦThB) Muscular Blood Flow of Oxygen Charged Hemoglobin—g/dL/s (ΦO₂HHb), through the formula: [g/dL (O₂ HHb)*(HR)]/60=g/dL/seg (ΦO₂ HHb) Muscular Blood Flow of Oxygen Discharged Hemoglobin—g/dL/s (ΦHHb), through the formula [g/dL (HHb)*(HR)]/60=g/dL/seg (ΦHHb) filtering and excluding, through the data processing system, the data obtained erroneously and/or due to registration error by devices during AFC^(M); filtering and excluding, through the processing system, the values that are not within the following ranges, as well as data obtained by using them: SMO2%: Between 1% SmO₂ and 99% SmO₂; ThB: Between 9.5 g/dL and 14.9 g/dL; HR: Between 40 ppm and 230 ppm; and filtering and excluding, through the processing system, the values having a difference between two temporary records, a previous value and the temporally subsequent value, greater than the following parameters, as well as data obtained by using them: Difference of SmO₂%>±10% SmO₂%; Difference of ThB>±0.3 g/dL; Difference of HR>±7 ppm. 